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Upcoming Positioning, Navigation and Timing: GPS, GLONASS, Galileo and BeiDou

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: closed (20 January 2022) | Viewed by 51690

Special Issue Editors


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Guest Editor
Department of Geoinformatics, University of Seoul, Seoul 02504, Korea
Interests: GNSS; sensor fusion; autonomous navigation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Geoinformatics Engineering, Kyungil University, Gyeongsan 38428, Korea
Interests: GNSS algorithms; Ionospheric modeling; Kalman filters

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Guest Editor
Department of Geoinformation Engineering, Sejong University, Seoul 05006, Korea
Interests: geodesy; GNSS; orbit determination
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The multiconstellation of Global Navigation Satellite System (GNSS) will be readily available with full equipment in the near future, and thus, a completely new phase of positioning, navigation and timing is anticipated. Conventional satellite positioning has been applied in a global sense, but we can also utilize it in a regional scale for a specific purpose and multidisciplinary applications. In this Special Issue, we aim at extending the capability of GNSS multiconstellation to its utter limit, including precision positioning with various strategies, as well as precise point positioning (PPP) for autonomous vehicle navigation and marine applications. Recent research on multiconstellation positioning is welcomed, as well as new approaches on remote sensing such as GNSS reflectometry, establishing global reference frames, and scientific analysis of satellite geodesy for monitoring of the Earth.

Prof. Dr. Jay Hyoun Kwon
Prof. Dr. Chang-Ki Hong
Prof. Dr. Tae-Suk Bae
Guest Editors

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Keywords

  • GNSS
  • multiconstellation
  • precision positioning
  • sensor integration
  • autonomous navigation
  • ionospheric modeling
  • Kalman filters
  • satellite orbit determination
  • network RTK

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Related Special Issue

Published Papers (16 papers)

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Editorial

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4 pages, 175 KiB  
Editorial
An Overview of a Special Issue on Upcoming Positioning, Navigation, and Timing: GPS, GLONASS, Galileo and BeiDou
by Chang-Ki Hong, Tae-Suk Bae and Jay Hyoun Kwon
Remote Sens. 2022, 14(9), 1982; https://doi.org/10.3390/rs14091982 - 20 Apr 2022
Cited by 3 | Viewed by 3890
Abstract
In recent decades, global navigation satellite systems (GNSSs) have experienced significant changes [...] Full article

Research

Jump to: Editorial

16 pages, 8785 KiB  
Article
Analysis of BDS-3 Onboard Clocks Based on GFZ Precise Clock Products
by Tao Geng, Rui Jiang, Yifei Lv and Xin Xie
Remote Sens. 2022, 14(6), 1389; https://doi.org/10.3390/rs14061389 - 13 Mar 2022
Cited by 14 | Viewed by 2556
Abstract
The characteristics and performance of satellite clocks are important to the positioning, navigation, and timing (PNT) services of Global Navigation Satellite System (GNSS) users. Although China’s BeiDou-3 Navigation Satellite System (BDS-3) has been fully operational for more than one year, there is still [...] Read more.
The characteristics and performance of satellite clocks are important to the positioning, navigation, and timing (PNT) services of Global Navigation Satellite System (GNSS) users. Although China’s BeiDou-3 Navigation Satellite System (BDS-3) has been fully operational for more than one year, there is still a lack of comprehensive research on the onboard clocks of the entire BDS-3 constellation. In this study, the precise clock products of GeoForschungsZentrum (GFZ) from day-of-year (DOY) 1, 2021 to DOY 300, 2021 were used to analyze the characteristics and performance of BDS-3 onboard clocks from the following aspects: clock bias, frequency, drift rate, fitting residuals, periodicity, and frequency stability. Compared with BDS-2, the clock quality of BDS-3 satellites has been greatly improved, but there are still jumps in the clock offsets and frequency series of BDS-3 clocks. The drift rate of BDS-3 clocks varies within the range between 2×1018 and 2×1018 s/s2. The daily model fitting residuals of passive hydrogen masers (PHM) on BDS-3 medium Earth orbit (MEO), inclined geosynchronous orbit (IGSO), and geostationary (GEO) satellites are 0.15, 0.28, and 0.46 ns, respectively. The overlapping Allan deviation (OADEV) of BDS-3 MEO clocks is 4.0 × 1014 s/s at a time interval of 1000 s. The PHMs on BDS-3 MEO satellites exhibit fewer periodic signals than those of Rb clocks. In addition, the precise clock offsets of the BDS-3 PHMs carried on the MEO, IGSO, and GEO satellites show different periodicities, which are similar to those of the corresponding types of BDS-2 satellites. Full article
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Figure 1

Figure 1
<p>Clock bias series of the BDS-2 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>4</mn> </mrow> </msup> </mrow> </semantics></math> s).</p>
Full article ">Figure 2
<p>Clock bias series of the BDS-3 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>4</mn> </mrow> </msup> </mrow> </semantics></math> s).</p>
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<p>Frequency series of the BDS-2 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>11</mn> </mrow> </msup> </mrow> </semantics></math> s/s).</p>
Full article ">Figure 4
<p>Frequency series of the BDS-3 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>11</mn> </mrow> </msup> </mrow> </semantics></math> s/s).</p>
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<p>Drift rate series of the BDS-2 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>18</mn> </mrow> </msup> </mrow> </semantics></math> s/<math display="inline"><semantics> <mrow> <msup> <mi mathvariant="normal">s</mi> <mn>2</mn> </msup> </mrow> </semantics></math> ).</p>
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<p>Drift rate series of the BDS-3 onboard clocks from DOY 1 to 300, 2021 (unit: <math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>18</mn> </mrow> </msup> </mrow> </semantics></math> s/<math display="inline"><semantics> <mrow> <msup> <mi mathvariant="normal">s</mi> <mn>2</mn> </msup> </mrow> </semantics></math>).</p>
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<p>Fitting residual series of the BDS-2 onboard clocks from DOY 1 to 300, 2021 (units: <math display="inline"><semantics> <mrow> <mi>ns</mi> </mrow> </semantics></math>).</p>
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<p>Fitting residual series of the BDS-3 onboard clocks from DOY 1 to 300, 2021 (units: ns).</p>
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<p>RMS of clock fitting residuals of BDS-2 and BDS-3 GEO, IGSO, and MEO satellites.</p>
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<p>Clock offsets OADEV comparison of different BDS-3 clocks.</p>
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<p>OADEV comparison of BDS-3 and BDS-2 clock offsets.</p>
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<p>The 1000-second, 10,000-second and 1-day OADEVs of BDS-2 and BDS-3 onboard clocks.</p>
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<p>Averaged amplitude spectra of BDS satellite clock offsets.</p>
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27 pages, 8066 KiB  
Article
Intersystem Bias in GPS, GLONASS, Galileo, BDS-3, and BDS-2 Integrated SPP: Characteristics and Performance Enhancement as a Priori Constraints
by Lin Pan, Zhehao Zhang, Wenkun Yu and Wujiao Dai
Remote Sens. 2021, 13(22), 4650; https://doi.org/10.3390/rs13224650 - 18 Nov 2021
Cited by 11 | Viewed by 3298
Abstract
Global navigation satellite systems (GNSSs) have been booming in recent years, and the space segment of all four of the GNSSs, including BDS (BDS-3/BDS-2), Galileo, GPS, and GLONASS, has almost been fully deployed at present. The single point positioning (SPP) technology, which is [...] Read more.
Global navigation satellite systems (GNSSs) have been booming in recent years, and the space segment of all four of the GNSSs, including BDS (BDS-3/BDS-2), Galileo, GPS, and GLONASS, has almost been fully deployed at present. The single point positioning (SPP) technology, which is widely used in satellite navigation and low-accuracy positioning, can benefit from the multi-GNSS integration, but the additional intersystem bias (ISB) parameters should be introduced to ensure the compatibility among different GNSSs. In this study, the ISB estimates derived from four-system integrated SPP are carefully characterized, and the performance enhancement attributed to a priori ISB constraints by prediction for position solutions under open sky and constrained visibility environments is rigorously evaluated. The results indicate that the ISB between BDS-3 and BDS-2 cannot be ignored. The daily ISBs show step changes when encountering the replacement of receiver types, while it is not the case for the receiver firmware versions. The daily ISBs are roughly consistent for the stations equipped with the same type of receivers. The short-term stability of epochwise ISBs for GLONASS, Galileo, BDS-2, and BDS-3 with respect to GPS can be 2.335, 1.262, 1.741, and 1.532 ns, respectively, whereas the corresponding long-term stability for daily ISBs can be 1.258, 1.288, 2.713, and 2.566 ns, respectively. The single-day prediction accuracy of daily ISBs for GLONASS, Galileo, BDS-2, and BDS-3 with respect to GPS can be 1.055, 0.640, 1.242, and 0.849 ns, respectively. The improvements on positioning accuracy after introducing a priori ISB constraints can be over 20% at an elevation mask of 40° and 50° with a time span of ISB prediction of a day. As to the availability, it is only 64.0% for traditional four-system SPP under a cutoff elevation of 50°, while the corresponding availability is increased to approximately 90.0% after considering a priori ISB constraints. For completeness, the characteristics of ISBs estimated with the low-cost u-blox M8T receiver and the Xiaomi Mi8 smartphone as well as the contribution of a priori ISB constraints to the multisystem SPP solutions with these devices are also investigated. Full article
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Figure 1

Figure 1
<p>Geographical distribution of the 120 selected MGEX stations.</p>
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<p>Epochwise ISB estimates at stations KIRU and PTBB on DOY 41 of 2020.</p>
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<p>Time series of daily ISBs at 29 stations (characterized by the change of receiver firmware versions).</p>
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<p>Time series of daily ISBs at BRUX (red) and UNSA (blue) stations (characterized by the replacement of receiver types).</p>
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<p>Distribution of STDs of epochwise ISB estimates over a day based on the data sets from 120 stations spanning a month.</p>
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<p>Average value of STDs of epochwise ISB estimates over a day for each receiver type based on the data sets from 120 stations spanning a month.</p>
Full article ">Figure 7
<p>Time series of daily ISBs for each station (characterized by the receiver types) on DOY 41–70, 2020.</p>
Full article ">Figure 8
<p>STD statistics of daily ISBs over a month for each station (characterized by the receiver types).</p>
Full article ">Figure 9
<p>Prediction residuals of daily ISBs with a time span of prediction of a day for each station (characterized by the receiver types).</p>
Full article ">Figure 10
<p>RMS statistics of prediction residuals of daily ISBs with a time span of prediction of a day for each receiver type.</p>
Full article ">Figure 11
<p>Epochwise positioning errors of four-system integrated SPP with and without a priori ISB constraints under a cutoff elevation of 50° at station ABMF on DOY 48 of 2020.</p>
Full article ">Figure 12
<p>Observation equipment for the SPP experiment.</p>
Full article ">Figure 13
<p>Epochwise ISB estimates between GLONASS and GPS derived from low-cost u-blox M8T receiver at an elevation mask angle of 10° on DOY 304 and 305 of 2021.</p>
Full article ">Figure 14
<p>Epochwise positioning errors of GPS/GLONASS integrated SPP with and without a priori ISB constraints using the low-cost u-blox M8T receiver under a cutoff elevation of 30° on DOY 305 of 2021.</p>
Full article ">Figure 15
<p>Two smartphones for the SPP experiment.</p>
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<p>Epochwise ISB estimates for two smartphones on DOY 319 and 320 of 2020.</p>
Full article ">Figure 17
<p>Epochwise positioning errors of four-system integrated SPP for two smartphones with and without a priori ISB constraints under a cutoff elevation of 40° on DOY 320 of 2020.</p>
Full article ">
20 pages, 3864 KiB  
Article
High-Accuracy Attitude Determination Using Single-Difference Observables Based on Multi-Antenna GNSS Receiver with a Common Clock
by Chenglong Zhang, Danan Dong, Wen Chen, Miaomiao Cai, Yu Peng, Chao Yu and Jianping Wu
Remote Sens. 2021, 13(19), 3977; https://doi.org/10.3390/rs13193977 - 5 Oct 2021
Cited by 13 | Viewed by 2857
Abstract
A global navigation satellite system (GNSS) receiver with multi-antenna using clock synchronization technology is a powerful piece of equipment for precise attitude determination and reducing costs. The single-difference (SD) can eliminate both the satellites and receiver clock errors with the common clock between [...] Read more.
A global navigation satellite system (GNSS) receiver with multi-antenna using clock synchronization technology is a powerful piece of equipment for precise attitude determination and reducing costs. The single-difference (SD) can eliminate both the satellites and receiver clock errors with the common clock between antennas, which benefits the GNSS short-baseline attitude determination due to its lower noise, higher redundancy and stronger function model strength. However, the existence of uncalibrated phase delay (UPD) makes it difficult to obtain fixed SD attitude solutions. Therefore, the key problem for the fixed SD attitude solutions is to separate the SD UPD and fix the SD ambiguities into integers between antennas. This article introduces the one-step ambiguity substitution approach to separate the SD UPD, through which we merge the SD UPD parameter with the SD ambiguity of the reference satellite ambiguity as the new SD UPD parameter. Reconstructing the other SD ambiguities, the rank deficiency can be remedied by nature, and the new SD ambiguities can have a natural integer feature. Finally, the fixed SD baseline and attitude solutions are obtained by combining the ambiguity substitution approach with integer ambiguity resolution (IAR). To verify the effect of the ambiguity substitution approach and the advantages of the SD observables with a common clock in practical applications, we conducted static, kinematic, and vehicle experiments. In static experiments, the root mean squared errors (RMSEs) of the yaw and pitch angles obtained by the SD observables with a common clock were improved by approximately 80% and 93%, respectively, compared to double-difference (DD) observables with a common clock in multi-day attitude solutions. The kinematic results show that the dispersion of the SD-Fix in the pitch angle is two times less that of the DD-Fix, and the standard deviations (STDs) of the pitch angle for SD-Fix can reach 0.02°. Based on the feasibility, five bridges with low pitch angles in the vehicle experiment environment, which the DD observables cannot detect, were detected by the SD observables with a common clock. The attitude angles obtained by the SD observables were also consistent with the fiber optic gyroscope (FOG) inertial navigation system (INS). This research on the SD observables with a common clock provides higher accuracy. Full article
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Figure 1

Figure 1
<p>Photographs of the dual antennas on the roof of a building.</p>
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<p>The distribution of the ambiguity substitution approach SD-Float ambiguity biases.</p>
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<p>Bar plots showing absolute baseline biases of SD-Float and SD-Fix solutions in east, north, and up directions for 6 days.</p>
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<p>Repeatability of the baseline solutions in east, north, and up directions for SD-Float and SD-Fix solutions.</p>
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<p>Line graph of attitude and baseline length by DD-Fix and SD-Fix solutions.</p>
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<p>Waveform showing single-frequency and single-epoch kinematic attitude solutions between DD-Fix and SD-Fix before multipath mitigation.</p>
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<p>Waveform showing single-frequency and single-epoch attitude solutions between DD-Fix and SD-Fix after multipath mitigation.</p>
Full article ">Figure 8
<p>Photographs of the placement of two antennas (<b>top</b>) and dynamic experimental trajectory (<b>bottom</b>).</p>
Full article ">Figure 9
<p>Number of visible GPS satellites.</p>
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<p>Comparison of yaw (<b>top</b>) and pitch (<b>bottom</b>) angle between DD-Fix and SD-Fix.</p>
Full article ">Figure 11
<p>Comparison of attitude between fiber optic gyroscope inertial navigation system (FOG-INS) and SD-Fix.</p>
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<p>Dynamic baseline length.</p>
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<p>Attitude angle bias between SD-Fix and FOG-INS.</p>
Full article ">
32 pages, 33008 KiB  
Article
Precise Point Positioning with Almost Fully Deployed BDS-3, BDS-2, GPS, GLONASS, Galileo and QZSS Using Precise Products from Different Analysis Centers
by Xuanping Li and Lin Pan
Remote Sens. 2021, 13(19), 3905; https://doi.org/10.3390/rs13193905 - 29 Sep 2021
Cited by 7 | Viewed by 3111
Abstract
The space segment of all the five satellite systems capable of providing precise position services, namely BeiDou Navigation Satellite System (BDS) (including BDS-3 and BDS-2), Global Positioning System (GPS), GLObal NAvigation Satellite System (GLONASS), Galileo and Quasi-Zenith Satellite System (QZSS), has almost been [...] Read more.
The space segment of all the five satellite systems capable of providing precise position services, namely BeiDou Navigation Satellite System (BDS) (including BDS-3 and BDS-2), Global Positioning System (GPS), GLObal NAvigation Satellite System (GLONASS), Galileo and Quasi-Zenith Satellite System (QZSS), has almost been fully deployed at present, and the number of available satellites is approximately 136. Currently, the precise satellite orbit and clock products from the analysis centers European Space Agency (ESA), GeoForschungsZentrum Potsdam (GFZ) and Wuhan University (WHU) can support all five satellite systems. Thus, it is necessary to investigate the positioning performance of a five-system integrated precise point positioning (PPP) (i.e., GRECJ-PPP) using the precise products from different analysis centers under the current constellation status. It should be noted that this study only focuses on the long-term performance of PPP based on daily observations. The static GRECJ-PPP can provide a convergence time of 5.9–6.9/2.6–3.1/6.3–7.1 min and a positioning accuracy of 0.2–0.3/0.2–0.3/1.0–1.1 cm in east/north/up directions, respectively, while the corresponding kinematic statistics are 6.8–8.6/3.3–4.0/7.8–8.1 min and 1.0–1.1/0.8/2.5–2.6 cm in three directions, respectively. For completeness, although the real-time precise products from the analysis center Centre National d’Etudes Spatiales (CNES) do not incorporate QZSS satellites, the performance of real-time PPP with the other four satellite systems (i.e., GREC-PPP) is also analyzed. The real-time GREC-PPP can achieve a static convergence time of 8.7/5.2/11.2 min, a static positioning accuracy of 0.6/0.8/1.3 cm, a kinematic convergence time of 11.5/6.9/13.0 min, and a kinematic positioning accuracy of 1.7/1.6/3.6 cm in the three directions, respectively. For comparison, the results of single-system and dual-system PPP are also provided. In addition, the consistency of the precise products from different analysis centers is characterized. Full article
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Figure 1

Figure 1
<p>Global maps of maximum, minimum and average number of visible satellites for five-system combination on DOY 122 of 2020.</p>
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<p>Global maps of maximum, minimum and average PDOP values for five-system combination on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for GPS satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for GLONASS satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for Galileo satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for BDS-2 GEO and IGSO satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for BDS-2 and BDS-3 MEO satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Epoch-wise orbit and clock differences for QZSS GEO and IGSO satellites between GFZ and WHU precise products on DOY 122 of 2020.</p>
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<p>Geographical distribution of 29 selected MGEX stations. The stations marked in both red and blue can track the GPS, GLONASS, Galileo, BDS-2 and BDS-3 satellites, and only the stations marked in blue can track the QZSS satellites.</p>
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<p>Epoch-wise position errors of static PPP using ESA final precise products at station KIR0 on 17 May 2020.</p>
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<p>Epoch-wise position errors of static PPP using CNES real-time precise products at station KIR0 on 17 May 2020.</p>
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<p>Epoch-wise position errors of kinematic PPP using ESA final precise products at station KIR0 on 17 May 2020.</p>
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<p>Epoch-wise position errors of kinematic PPP using CNES real-time precise products at station KIR0 on 17 May 2020.</p>
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14 pages, 1867 KiB  
Article
Real-Time Estimation of GPS-BDS Inter-System Biases: An Improved Particle Swarm Optimization Algorithm
by Wenhao Zhao, Genyou Liu, Shengliang Wang, Ming Gao and Dong Lv
Remote Sens. 2021, 13(16), 3214; https://doi.org/10.3390/rs13163214 - 13 Aug 2021
Cited by 8 | Viewed by 2121
Abstract
The restart of the receiver will lead to the change in the non-overlapping frequency inter-system biases (ISB), which will make it difficult to apply the tightly combined RTK method of pre-calibrating ISB to the actual scene. Particle swarm optimization (PSO) algorithm can be [...] Read more.
The restart of the receiver will lead to the change in the non-overlapping frequency inter-system biases (ISB), which will make it difficult to apply the tightly combined RTK method of pre-calibrating ISB to the actual scene. Particle swarm optimization (PSO) algorithm can be used to estimate the fractional part of the inter-system phase bias (F-ISPB) in real time, which is not affected by the receiver restart. However, the standard PSO can easily fall into local optimum and cannot accurately estimate the value of F-ISPB. In this contribution, based on the characteristics of F-ISPB, we propose an improved PSO with adaptive search space and elite reservation strategy to estimate the F-ISPB in real time. When the value of F-ISPB is close to the boundary of the search space, the improved PSO will transform the search space so that F-ISPB will be located near the central region of the new search space, which will greatly reduce the situation of the standard PSO easily falling into local optimum. Since F-ISPB is very stable, an elite retention strategy will help us to estimate F-ISPB faster and more accurately. Three sets of short baseline static data were selected for testing. The results show that the inter-system differenced model based on the improved PSO has a higher ambiguity fixed rate and positioning accuracy than the inter-system differenced model based on the standard PSO and the classical intra-system differenced model, and the fewer the number of satellites, the more obvious the effect. Full article
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Figure 1
<p>Relationship between ratio and F-ISPB for first epoch. (<b>a</b>,<b>c</b>) The baseline CUTB–CUTC. (<b>b</b>,<b>d</b>) The baseline CUTB–CUT0.</p>
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<p>Relationship between ratio and F-ISPB for all epochs. (<b>a</b>,<b>c</b>) CUTB–CUTC. (<b>b</b>,<b>d</b>) CUTB–CUT0.</p>
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<p>Number of GPS and BDS satellites at different cut-off elevation angles. (<b>a</b>) 15 degrees. (<b>b</b>) 25 degrees. (<b>c</b>) 35 degrees. (<b>d</b>) 45 degrees.</p>
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<p>F-ISPB estimation results of CUTB–CUT0 baseline. (<b>a</b>) Standard PSO. (<b>b</b>) PSO for adaptive search space. (<b>c</b>) PSO for elite retention strategy. (<b>d</b>) Improved PSO with both functions.</p>
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<p>The distribution of ratio values at different cut-off elevation angles. (<b>a</b>) 15 degrees. (<b>b</b>) 25 degrees. (<b>c</b>) 35 degrees. (<b>d</b>) 45 degrees.</p>
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<p>Ambiguity success rate and average of ratio at different cut-off elevation angles. (<b>a</b>) Ambiguity success rate. (<b>b</b>) Average of ratio.</p>
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<p>F-ISPB estimation results of IGG01–IGG02 baseline.</p>
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22 pages, 7502 KiB  
Article
Modeling and Performance Evaluation of Precise Positioning and Time-Frequency Transfer with Galileo Five-Frequency Observations
by Wei Xu, Wen-Bin Shen, Cheng-Hui Cai, Li-Hong Li, Lei Wang and Zi-Yu Shen
Remote Sens. 2021, 13(15), 2972; https://doi.org/10.3390/rs13152972 - 28 Jul 2021
Cited by 10 | Viewed by 2433
Abstract
The present Global Navigation Satellite System (GNSS) can provide at least double-frequency observations, and especially the Galileo Navigation Satellite System (Galileo) can provide five-frequency observations for all constellation satellites. In this contribution, precision point positioning (PPP) models with Galileo E1, E5a, E5b, E5 [...] Read more.
The present Global Navigation Satellite System (GNSS) can provide at least double-frequency observations, and especially the Galileo Navigation Satellite System (Galileo) can provide five-frequency observations for all constellation satellites. In this contribution, precision point positioning (PPP) models with Galileo E1, E5a, E5b, E5 and E6 frequency observations are established, including a dual-frequency (DF) ionospheric-free (IF) combination model, triple-frequency (TF) IF combination model, quad-frequency (QF) IF combination model, four five-frequency (FF) IF com-bination models and an FF uncombined (UC) model. The observation data of five stations for seven days are selected from the multi-GNSS experiment (MGEX) network, forming four time-frequency links ranging from 454.6 km to 5991.2 km. The positioning and time-frequency transfer performances of Galileo multi-frequency PPP are compared and evaluated using GBM (which denotes precise satellite orbit and clock bias products provided by Geo Forschung Zentrum (GFZ)), WUM (which denotes precise satellite orbit and clock bias products provided by Wuhan University (WHU)) and GRG (which denotes precise satellite orbit and clock bias products provided by the Centre National d’Etudes Spatiales (CNES)) precise products. The results show that the performances of the DF, TF, QF and FF PPP models are basically the same, the frequency stabilities of most links can reach sub10?16 level at 120,000 s, and the average three-dimensional (3D) root mean square (RMS) of position and average frequency stability (120,000 s) can reach 1.82 cm and 1.18 × 10?15, respectively. The differences of 3D RMS among all models are within 0.17 cm, and the differences in frequency stabilities (in 120,000 s) among all models are within 0.08 × 10?15. Using the GRG precise product, the solution performance is slightly better than that of the GBM or WUM precise product, the average 3D RMS values obtained using the WUM and GRG precise products are 1.85 cm and 1.77 cm, respectively, and the average frequency stabilities at 120,000 s can reach 1.13 × 10?15 and 1.06 × 10?15, respectively. Full article
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<p>Geographic distribution of the selected stations.</p>
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<p>Distribution of number of visible satellites and position dilution of precision (PDOP) value for GPS and Galileo constellation on days of year (DOYs) 190 to 196 in 2020. (<b>a</b>) Number of visible GPS satellites; (<b>b</b>) GPS PDOP values; (<b>c</b>) number of visible Galileo satellites; and (<b>d</b>) Galileo PDOP values.</p>
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<p>Number of visible satellites and time dilution of precision (TDOP) values at BRUX and PTBB for Galileo on DOYs 190 to 196 in 2020. (<b>a</b>) Number of visible satellites; and (<b>b</b>) TDOP values.</p>
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<p>Galileo multipath combination noise sequence and elevation at frequencies E1, E5a, E6, E5 and E5b at BRUX station on DOYs 190 to 196 in 2020. (<b>a</b>) E08 satellite; (<b>b</b>) E15 satellite; (<b>c</b>) E25 satellite; and (<b>d</b>) E33 satellite.</p>
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<p>Positioning performance of BRUX, CEBR, PTBB, ROAG and USN7 stations for the DF, TF, QF and FF1 PPP models on DOYs 190 to 196 in 2020. (<b>a</b>) E component RMS value; (<b>b</b>) N component RMS value; (<b>c</b>) U component RMS value; and (<b>d</b>) convergence time.</p>
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<p>Clock offset sequence at four time-frequency links for the DF, TF, QF and FF1 PPP models on DOYs 190 to 196 in 2020. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p>MADEV at four time-frequency links for the DF, TF, QF and FF1 PPP solutions on DOYs 190 to 196 in 2020. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p>Positioning performance of the BRUX, CEBR, PTBB, ROAG and USN7 stations by the FF1, FF2, FF3, FF4 and UC PPP solutions on DOYs 190 to 196 in 2020. (<b>a</b>) E Component RMS value; (<b>b</b>) N component RMS value; (<b>c</b>) U component RMS value; and (<b>d</b>) convergence time.</p>
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<p>Clock offset sequences at four time-frequency links for the FF1, FF2, FF3, FF4 and UC PPP solutions on DOYs 190 to 196 in 2020. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p>MADEV at four time-frequency links for the FF1, FF2, FF3, FF4 and UC PPP solutions on DOYs 190 to 196 in 2020. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p><span class="html-italic">IFB</span> sequences at five stations for the FF2, FF3, FF4 and UC PPP models on DOYs 190 to 196 in 2020. (<b>a</b>) BRUX station; (<b>b</b>) CEBR station; (<b>c</b>) PTBB station; (<b>d</b>) ROAG station; and (<b>e</b>) USN7 station.</p>
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<p>Average 3D RMS values and average convergence times by using the GBM, WUM and GRG precise product PPP solutions on DOYs 190 to 196 in 2020. (<b>a</b>) 3D RMS value; (<b>b</b>) convergence time.</p>
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<p>Clock offset sequences of the GBM, WUM and GRG products in the PPP FF1 model. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p>MADEV of the PPP solution by using GBM, WUM and GRG precision products at 120,000 s. (<b>a</b>) BRUX-CEBR time-frequency link; (<b>b</b>) BRUX-PTBB time-frequency link; (<b>c</b>) BRUX-ROAG time-frequency link; and (<b>d</b>) BRUX-USN7 time-frequency link.</p>
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<p>MADEV at the BRUX-USN7 time-frequency link of the PPP solution by using GBM, WUM and GRG precision products on DOYs 190 to 196 in 2020. (<b>a</b>) DF PPP model; (<b>b</b>) TF PPP model; (<b>c</b>) QF PPP model; (<b>d</b>) FF1 PPP model; and (<b>e</b>) FF2 PPP model; (<b>f</b>) FF3 PPP model; (<b>g</b>) FF4 PPP model; (<b>h</b>) UC PPP model.</p>
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20 pages, 16409 KiB  
Article
Research on Tightly Coupled Multi-Antenna GNSS/MEMS Single-Frequency Single-Epoch Attitude Determination in Urban Environment
by Ming Gao, Genyou Liu, Shengliang Wang, Gongwei Xiao, Wenhao Zhao and Dong Lv
Remote Sens. 2021, 13(14), 2710; https://doi.org/10.3390/rs13142710 - 9 Jul 2021
Cited by 7 | Viewed by 2477
Abstract
GNSS-only attitude determination is difficult to perform well in poor-satellite-tracking environments such as urban areas with high and dense buildings or trees. In addition, it is harder to resolve integer ambiguity in the case of single-frequency single-epoch process mode. In this contribution, a [...] Read more.
GNSS-only attitude determination is difficult to perform well in poor-satellite-tracking environments such as urban areas with high and dense buildings or trees. In addition, it is harder to resolve integer ambiguity in the case of single-frequency single-epoch process mode. In this contribution, a low-cost MEMS gyroscope is integrated with multi-antenna GNSS to improve the performance of the attitude determination. A new tightly coupled (TC) model is proposed, which uses a single filter to achieve the optimal estimation of attitude drift, gyro biases and ambiguities. In addition, a MEMS-Attitude-aided Quality-Control method (MAQC) for GNSS observations is designed to eliminate both the carrier multipath errors and half-cycle slips disturbing ambiguity resolution. Vehicle experiments show that in GNSS-friendly scenarios, the Ambiguity Resolution (AR) success rate of the proposed model with MAQC can reach 100%, and the accuracy of attitudes are (0.12, 0.2, 0.2) degrees for heading, pitch and roll angles, respectively. Even in harsh scenarios, the AR success rate increases from about 67% for the GNSS only case to above 90% after coupling GNSS tightly with MEMS, and it is further improved to about 98% with MAQC. Meanwhile, the accuracy and continuity of attitude determination are effectively guaranteed. Full article
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<p>Flow chart of tightly coupled attitude determination.</p>
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<p>Equipment setup for vehicle experiments: (<b>a</b>) the experimental vehicle; (<b>b</b>) equipment setup diagram.</p>
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<p>First experiment in an open environment: (<b>a</b>) trajectory of vehicle; (<b>b</b>) number of visible satellites of the primary baseline; (<b>c</b>) the GPS L1 “Satellite Lock—Cycle Slips” plot from IE; (<b>d</b>) the BDS B1 “Satellite Lock—Cycle Slips” plot from IE.</p>
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<p>Time sequence of attitude errors.</p>
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<p>Residuals of carrier phase in real experiment: (<b>a</b>) prediction residuals of carrier phase; (<b>b</b>) residuals of the retained carrier phase measurements by MAQC method. The rea lines symbolize threshold value. The blue lines symbolize the residuals.</p>
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<p>Residuals of carrier phase in simulated experiment: (<b>a</b>) prediction residuals of carrier phase; (<b>b</b>) residuals of the retained carrier phase measurements by MAQC method. The rea lines symbolize the threshold value. The blue lines symbolize the residuals.</p>
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<p>Success rates of ambiguity resolution.</p>
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<p>(<b>a</b>) MEMS gyro bias of each axis; (<b>b</b>) attitude drift of MEMS alone.</p>
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<p>Second experiment in a challenged urban environment: (<b>a</b>) trajectory of vehicle; (<b>b</b>) the number of visible satellites of primary baseline; (<b>c</b>) the GPS L1 “Satellite Lock—Cycle Slips” plot from IE; (<b>d</b>) the BDS B1 “Satellite Lock—Cycle Slips” plot from IE.</p>
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<p>Second experiment in a challenged urban environment: (<b>a</b>) trajectory of vehicle; (<b>b</b>) the number of visible satellites of primary baseline; (<b>c</b>) the GPS L1 “Satellite Lock—Cycle Slips” plot from IE; (<b>d</b>) the BDS B1 “Satellite Lock—Cycle Slips” plot from IE.</p>
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<p>Time sequence of attitude errors.</p>
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<p>Residuals of the carrier phase: (<b>a</b>) residuals of the carrier phase measurements; (<b>b</b>) residuals of the retained carrier phase measurements by MAQC method.</p>
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<p>Success rates of ambiguity resolution: (<b>a</b>) epoch counts for different numbers of available DD phase observations; (<b>b</b>) success rates for different number of available DD phase observations; (<b>c</b>) global success rates for all epochs in 4 attitude determination modes.</p>
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<p>Success rates of ambiguity resolution: (<b>a</b>) epoch counts for different numbers of available DD phase observations; (<b>b</b>) success rates for different number of available DD phase observations; (<b>c</b>) global success rates for all epochs in 4 attitude determination modes.</p>
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28 pages, 12232 KiB  
Article
Characterization of Carrier Phase-Based Positioning in Real-World Jamming Conditions
by Søren Skaarup Larsen, Anna B. O. Jensen and Daniel H. Olesen
Remote Sens. 2021, 13(14), 2680; https://doi.org/10.3390/rs13142680 - 7 Jul 2021
Cited by 5 | Viewed by 2409
Abstract
GNSS signals arriving at receivers at the surface of the Earth are weak and easily susceptible to interference and jamming. In this paper, the impact of jamming on the reference station in carrier phase-based relative baseline solutions is examined. Several scenarios are investigated [...] Read more.
GNSS signals arriving at receivers at the surface of the Earth are weak and easily susceptible to interference and jamming. In this paper, the impact of jamming on the reference station in carrier phase-based relative baseline solutions is examined. Several scenarios are investigated in order to assess the robustness of carrier phase-based positioning towards jamming. Among others, these scenarios include a varying baseline length, the use of single- versus dual-frequency observations, and the inclusion of the Galileo and GLONASS constellations to a GPS only solution. The investigations are based on observations recorded at physical reference stations in the Danish TAPAS network during actual jamming incidents, in order to realistically evaluate the impact of real-world jamming on carrier phase-based positioning accuracy. The analyses performed show that, while there are benefits of using observations from several frequencies and constellations in positioning solutions, special care must be taken in solution processing. The selection of which GNSS constellations and observations to include, as well as when they are included, is essential, as blindly adding more jamming-affected observations may lead to worse positioning accuracy. Full article
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<p>The TAPAS real-time kinematic (RTK) network around the city of Aarhus, with zoomed in view on the location of stations TA03 and TA10 as well as the monitoring station © The Danish Agency for Data Supply and Efficiency (SDFE).</p>
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<p>Sum-of-squares (SoS) values for TA03 on 18 January 2019. The red line marks the SoS detection threshold.</p>
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<p>C/N<sub>0</sub> values for GPS L1 observations during the last jamming incident registered at TA03 on 18 January 2019.</p>
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<p>C/N<sub>0</sub> values for GPS L1 observations during Case 1, an L1 jamming incident registered at TA03. The incident lasts approximately 1 h and 10 min (from 11:18 to 12:28).</p>
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<p>C/N<sub>0</sub> values for Case 2; a multifrequency jamming incident registered at TA10. Figures show Galileo E1 and E5a measurements, but all frequencies are equally affected. The black arrows mark the beginning and ending of the incident. In the period around 17:40–17:50, the receiver is most heavily affected, losing track of several satellites.</p>
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<p>GPS L1 C/N<sub>0</sub> values for the Case 3 jamming incident; an approximately 12 min event affecting only the L1 band.</p>
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<p>Signal tracking and cycle slips (marked in red) for all three cases. From the left, Case 1, Case 2, and Case 3 on the far right. The red boxes mark the jamming incident, with approximate times displayed at the top. Color coding of the tracking lines indicates available signals: Green = L1 + L2, Blue = L1 + L2 + L5, Yellow = L1 only, Pink = L2 only.</p>
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<p>Residuals per satellite in a DGPS (top) and PPK float (bottom) solution for Case 3, baseline 1 (4.1 km) using only L1 data from select satellites (G07, G10, G16, G20, G21, G26, and G27). Red arrows mark the start and end of the jamming incident. Notice the different scales on the y-axis.</p>
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<p>East and north components of the baseline vector for the DGPS (top) and PPK float (bottom) solutions in Case 3, baseline 1, using only L1 data from select satellites (G07, G10, G16, G20, G21, G26, and G27). Red arrows mark the jamming interval. Note the meter-level zoom on the y-axis in the top plot, and cm-level zoom in the bottom plot.</p>
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<p>Solution 3D error (<b>top</b>) and number of satellites in the solution (<b>bottom</b>) for various L1 only solutions to Case 1, baseline 1 (11 km). Timestamps on the bottom plot refer to the following events: 11:30:46: Re-inclusion Galileo satellite in the 3CS after it has reverted to a GPS + GLO solution at the start of the jamming incident—consequences for the positioning solution are shown in the zoom on the top plot.11:49:02: Owing to signal tracking being prevented, a GPS + GAL solution becomes impossible.</p>
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<p>Solution 3D error (<b>top</b>) and number of satellites in the solution (<b>bottom</b>) for various L1 + L2 PPK solutions to Case 2, baseline 2 (12.1 km). 17:42:07: Galileo is reintroduced to the 3CS.</p>
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<p>Number of satellites (<b>top</b>) and 3D positioning error (<b>bottom</b>) of the four baselines in Case 2. All solutions are based on dual-frequency GPS and Galileo data.</p>
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<p>3D positioning error for an entire 2-h span from 17:00 to 19:00 including the jamming incident from Case 2. It is seen that the very long baseline does not manage to fully recover within this period.</p>
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<p>A comparison of the ambiguity resolution (AR) status (quality factor) for the shortest and the very long baseline in Case 2. The AR status levels indicate different levels of accuracy explained in [<a href="#B38-remotesensing-13-02680" class="html-bibr">38</a>]: 1 = Fixed, 2–4 = Converging float, 5–6 = DGPS, 0 = No solution.</p>
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<p>Comparison of positioning performance of single- vs. dual-frequency GPS + Galileo solutions for Case 1, baseline 1. Top: 3D positioning error. Bottom: horizontal positioning—the true position of the rover station is (0,0).</p>
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<p>3D positioning error for a single- and a dual-frequency GPS + Galileo solution for Case 2, baseline 2 (11 km). Only the solution of the first part of the jamming incident is shown.</p>
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<p>Number of satellites in the monitor station solution during the period 11:00–13:00 GPS time of the Case 1 incident.</p>
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<p>Fixing rate of the TAPAS network during the incident in Case 2. This shows the percentage of available satellites that are integer fixed in the network.</p>
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15 pages, 3078 KiB  
Article
Analysis of BDS/GPS Signals’ Characteristics and Navigation Accuracy for a Geostationary Satellite
by Meng Wang, Tao Shan, Wanwei Zhang and Hao Huan
Remote Sens. 2021, 13(10), 1967; https://doi.org/10.3390/rs13101967 - 18 May 2021
Cited by 14 | Viewed by 4330
Abstract
The utilization of Global Navigation Satellite System (GNSS) is becoming an attractive navigation approach for geostationary orbit (GEO) satellites. A high-sensitivity receiver compatible with Global Position System (GPS) developed by the United States and BeiDou Navigation Satellite System (BDS) developed by China has [...] Read more.
The utilization of Global Navigation Satellite System (GNSS) is becoming an attractive navigation approach for geostationary orbit (GEO) satellites. A high-sensitivity receiver compatible with Global Position System (GPS) developed by the United States and BeiDou Navigation Satellite System (BDS) developed by China has been used in a GEO satellite named TJS-5 to demonstrate feasibility of real-time navigation. According to inflight data, the GNSS signal characteristics including availability, position dilution of precision (PDOP), carrier-to-noise ratio (C/N0), observations quantity and accuracy are analyzed. The mean number of GPS and GPS + BDS satellites tracked are 7.4 and 11.7 and the mean PDOP of GPS and GPS + BDS are 10.24 and 3.91, respectively. The use of BDS significantly increases the number of available navigation satellites and improves the PDOP. The number of observations with respect to C/N0 is illustrated in detail. The standard deviation of the pseudorange noises are less than 4 m, and the corresponding carrier phase noises are mostly less than 8 mm. We present the navigation performance using only GPS observations and GPS + BDS observations combination at different weights through comparisons with the precision reference orbits. When GPS combined with BDS observations, the root mean square (RMS) of the single-epoch least square position accuracy can improve from 32.1 m to 16.5 m and the corresponding velocity accuracy can improve from 0.238 m/s to 0.165 m/s. The RMS of real-time orbit determination position accuracy is 5.55 m and the corresponding velocity accuracy is 0.697 mm/s when using GPS and BDS combinations. Especially, the position accuracy in x-axis direction reduced from 7.24 m to 4.09 m when combined GPS with BDS observations. Full article
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<p>Reception geometry for MEO, IGSO and GEO navigation satellites and receiver in GEO mission.</p>
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<p>Block diagram of the BDS and GPS receiver architecture.</p>
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<p>Number of the GPS, BDS, and GPS + BDS satellites tracked over two days.</p>
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<p>Availability of GPS and BDS satellites over two days (blue for GPS, brown for BDS).</p>
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<p>Values of PDOP over two days.</p>
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<p>Sky view of GPS and BDS satellites tracked over two days with respect to azimuth and nadir angles of the receiver.</p>
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<p>Distribution of observations with respect to C/N<sub>0</sub> over two days.</p>
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<p>Standard deviation of the pseudorange noises and carrier phase noises for GPS and BDS in different C/N<sub>0</sub> range over two days.</p>
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<p>Position differences (x-axis, y-axis, and z-axis) over two days between real-time orbit determination solutions using GPS and GPS + BDS pseudorange with weight ratio of 1:1 and the reference of the precision orbit determination solutions.</p>
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18 pages, 2839 KiB  
Article
Accuracy Analysis of GNSS Hourly Ultra-Rapid Orbit and Clock Products from SHAO AC of iGMAS
by Qinming Chen, Shuli Song and Weili Zhou
Remote Sens. 2021, 13(5), 1022; https://doi.org/10.3390/rs13051022 - 8 Mar 2021
Cited by 19 | Viewed by 3071
Abstract
With the development of the global navigation satellite system(GNSS), the hourly ultra-rapid products of GNSS are attracting more attention due to their low latency and high accuracy. A new strategy and method was applied by the Shanghai Astronomical Observatory (SHAO) Analysis Center (AC) [...] Read more.
With the development of the global navigation satellite system(GNSS), the hourly ultra-rapid products of GNSS are attracting more attention due to their low latency and high accuracy. A new strategy and method was applied by the Shanghai Astronomical Observatory (SHAO) Analysis Center (AC) of the international GNSS Monitoring and Assessment Service (iGMAS) for generating 6-hourly and 1-hourly GNSS products, which mainly include the American Global Positioning System (GPS), the Russian Global’naya Navigatsionnaya Sputnikova Sistema (GLONASS), the European Union’s Galileo, and the Chinese BeiDou navigation satellite system (BDS). The 6-hourly and 1-hourly GNSS orbit and clock ultra-rapid products included a 24-h observation session which is determined by 24-h observation data from global tracking stations, and a 24-h prediction session which is predicted from the observation session. The accuracy of the 1-hourly orbit product improved about 1%, 31%, 13%, 11%, 23%, and 9% for the observation session and 18%, 43%, 45%, 34%, 53%, and 15% for the prediction session of GPS, GLONASS, Galileo, BDS Medium Earth Orbit (MEO), Inclined Geosynchronous Orbit (IGSO), and GEO orbit, when compared with reference products with high accuracy from the International GNSS service (IGS).The precision of the 1-hourly clock products can also be seen better than the 6-hourly clock products. The accuracy and precision of the 6-hourly and 1-hourly orbit and clock verify the availability and reliability of the hourly ultra-rapid products, which can be used for real-time or near-real-time applications, and show encouraging prospects. Full article
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<p>Distribution of the global tracking stations used to generate hourly ultra-rapid orbit and clock global navigation satellite system (GNSS) products. The blue circles represent the stations, which can track American Global Positioning System (GPS) satellites; the green circles represent the stations tracking Ruassian Global’naya Navigatsionnaya Sputnikova Sistema (GLONASS); the yellow circles represent the stations tracking European Union’s Galileo, and the red circles represent the stations tracking Chinese BeiDou navigation satellite system (BDS) satellites.</p>
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<p>Slide window for hourly ultra-rapid obit and clock products generation.</p>
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<p>Data processing flow chart of the combined serial and parallel threads (CSPT) method for hourly orbit and clock products.</p>
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<p>Computational efficiency of 6H and 1H products for GPS/GLONASS/Galileo/BDS. The 6H and 1H are on behalf of 6-hourly and 1-hourly products, respectively.</p>
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<p>Average root mean square (RMS) in along, cross, and radial directions of differences between 6-hourlyorbit products generated by the new and old method and IGS/MGEX final products for 24-h observation session and the 1st–8th hour prediction session.</p>
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<p>Average RMS of 6-hourly GNSS ultra-rapid orbit products with respect to IGS/MGEX final products for 24-h observation session and 1st–8th prediction session. (<b>a</b>) shows RMS of the MEO orbit for GPS/GLONASS/Galileo, and MEO/IGSO orbit for BDS, (<b>b</b>) displays RMS of GEO orbit for BDS for the observation session and prediction session.</p>
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<p>Average RMS of 1-hourly GNSS ultra-rapid orbit products with respect to IGS/MGEX final products for 24-h observation session and 1st–2nd prediction session. (<b>a</b>) shows RMS of the MEO orbit for GPS/GLONASS/Galileo, and MEO/IGSO for BDS, (<b>b</b>) displays RMS of GEO orbit for BDS for the observation session and prediction session.</p>
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<p>Average SD of 6-hourly (<b>a</b>) and 1-hourly (<b>b</b>) GNSS clock versus reference products from IGS/MGEX.</p>
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<p>Average SD of 6-hourly (<b>a</b>) and 1-hourly (<b>b</b>) GNSS clock versus reference products from IGS/MGEX.</p>
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<p>Average RMS of 6-hourly (<b>a</b>) and 1-hourly (<b>b</b>) GNSS clock versus reference products from IGS/MGEX.</p>
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<p>Average RMS of 6-hourly (<b>a</b>) and 1-hourly (<b>b</b>) GNSS clock versus reference products from IGS/MGEX.</p>
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23 pages, 9771 KiB  
Article
Modeling and Analysis of BDS-2 and BDS-3 Combined Precise Time and Frequency Transfer Considering Stochastic Models of Inter-System Bias
by Guoqiang Jiao, Shuli Song, Qinming Chen, Chao Huang, Ke Su, Zhitao Wang and Na Cheng
Remote Sens. 2021, 13(4), 793; https://doi.org/10.3390/rs13040793 - 21 Feb 2021
Cited by 15 | Viewed by 2612
Abstract
BeiDou global navigation satellite system (BDS) began to provide positioning, navigation, and timing (PNT) services to global users officially on 31 July, 2020. BDS constellations consist of regional (BDS-2) and global navigation satellites (BDS-3). Due to the difference of modulations and characteristics for [...] Read more.
BeiDou global navigation satellite system (BDS) began to provide positioning, navigation, and timing (PNT) services to global users officially on 31 July, 2020. BDS constellations consist of regional (BDS-2) and global navigation satellites (BDS-3). Due to the difference of modulations and characteristics for the BDS-2 and BDS-3 default civil service signals (B1I/B3I) and the increase of new signals (B1C/B2a) for BDS-3, a systemically bias exists in the receiver-end when receiving and processing BDS-2 and BDS-3 signals, which leads to the inter-system bias (ISB) between BDS-2 and BDS-3 on the receiver side. To fully utilize BDS, the BDS-2 and BDS-3 combined precise time and frequency transfer are investigated considering the effect of the ISB. Four kinds of ISB stochastic models are presented, which are ignoring ISB (ISBNO), estimating ISB as random constant (ISBCV), random walk process (ISBRW), and white noise process (ISBWN). The results demonstrate that the datum of receiver clock offsets can be unified and the ISB deduced datum confusion can be avoided by estimating the ISB. The ISBCV and ISBRW models are superior to ISBWN. For the BDS-2 and BDS-3 combined precise time and frequency transfer using ISBNO, ISBCV, ISBRW, and ISBWN, the stability of clock differences of old signals can be enhanced by 20.18%, 23.89%, 23.96%, and 11.46% over BDS-2-only, respectively. For new signals, the enhancements are ?50.77%, 20.22%, 17.53%, and ?3.69%, respectively. Moreover, ISBCV and ISBRW models have the better frequency transfer stability. Consequently, we recommended the optimal ISBCV or suboptimal ISBRW model for BDS-2 and BDS-3 combined precise time and frequency transfer when processing the old as well as the new signals. Full article
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<p>Distribution of the selected GNSS tracking station, in which the baselines denote the time-links.</p>
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<p>Global distribution of precision dilution of precision (PDOP) and time dilution of precision (TDOP) for BDS-2-only, BDS-3-only, and BeiDou global navigation satellite system (BDS) (BDS-2/BDS-3). The selected stations are also marked.</p>
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<p>Number of visible satellites for BDS-2-only, BDS-3-only, and BDS (BDS-2/BDS-3).</p>
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<p>The receiver clock offsets of BDS-2-only and BDS-3-only for new signals (B1C/B2a) and old signals (B1I/B3I) at stations BRUX (SEPT POLARX5TR), XIA1 (GNSS-GGR), and HOB2 (SEPT POLARX5).</p>
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<p>The inter-system bias (ISB) between BDS-2 (B1I/B3I) and BDS-3 (B1I/B3I) for Helmholtz Centre Potsdam German Research Center for Geosciences (GFZ) and Wuhan University (WHU) from DOY 101 to 130, 2020.</p>
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<p>The ISB between BDS-2 (B1I/B3I) and BDS-3 (B1C/B2a) for GFZ and WHU from DOY 101 to 130, 2020.</p>
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<p>The epoch-differenced ISB between BDS-2 (B1I/B3I) and BDS-3 (B1I/B3I) for GFZ and WHU from DOY 101 to 130, 2020.</p>
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<p>The epoch-differenced ISB between BDS-2 (B1I/B3I) and BDS-3 (B1C/B2a) for GFZ and WHU from DOY 101 to 130, 2020.</p>
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<p>The ionospheric-free (IF) pseudo-range observation residuals of BDS-2 (B1I/B3I) and BDS-3 (B1I/B3I) satellites for four ISB stochastic models based on GFZ products.</p>
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<p>The IF pseudo-range observation residuals of BDS-2 (B1I/B3I) and BDS-3 (B1C/B2a) satellites for four ISB stochastic models based on GFZ products.</p>
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<p>The ambiguities of BDS-2 (B1I/B3I) and BDS-3 (B1I/B3I) satellites for the four ISB stochastic models based on GFZ products at XIA1 station.</p>
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<p>The ambiguities of BDS-2 (B1I/B3I) and BDS-3 (B1C/B2a) satellites for four ISB stochastic models based on GFZ products at XIA1 station.</p>
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<p>The clock differences of BDS-2-only, BDS-3-only, and BDS (BDS-2/BDS-3 using the four ISB stochastic models) based on the time-link NNOR-XIA1 on DOY 114, 2020.</p>
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<p>Percentage improvement in the stability of BDS clock differences compared to BDS-2-only solution.</p>
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<p>Allan deviation (ADEV) of BDS-2-only, BDS-3-only, and BDS (BDS-2/BDS-3 using four ISB stochastic models) solutions using GFZ products from DOY 101 to 130, 2020.</p>
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<p>ADEV of BDS-2-only, BDS-3-only, and BDS (BDS-2/BDS-3 using four ISB stochastic models) solutions using WHU products from DOY 101 to 130, 2020.</p>
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<p>Percentage improvement in ADEV of BDS-3-only and BDS (BDS-2/BDS-3 using four ISB stochastic models) solutions compared BDS-2-only.</p>
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23 pages, 8894 KiB  
Article
An In-Depth Assessment of the New BDS-3 B1C and B2a Signals
by Qinghua Zhang, Yongxing Zhu and Zhengsheng Chen
Remote Sens. 2021, 13(4), 788; https://doi.org/10.3390/rs13040788 - 21 Feb 2021
Cited by 22 | Viewed by 3952
Abstract
An in-depth and comprehensive assessment of new observations from BDS-3 satellites is presented, with the main focus on the Carrier-to-Noise density ratio (C/N0), the quality of code and carrier phase observations for B1C and B2a signal. The signal characteristics of geosynchronous [...] Read more.
An in-depth and comprehensive assessment of new observations from BDS-3 satellites is presented, with the main focus on the Carrier-to-Noise density ratio (C/N0), the quality of code and carrier phase observations for B1C and B2a signal. The signal characteristics of geosynchronous earth orbit (GEO), inclined geosynchronous satellite orbit (IGSO) and medium earth orbit (MEO) satellites of BDS-3 were grouped and compared, respectively. The evaluation results of the new B1C and B2a signals of BDS-3 were compared with the previously B1I/B2I/B3I signals and the interoperable signals of GPS, Galileo and quasi-zenith satellite system (QZSS) were compared simultaneously. As expected, the results clearly show that B1C and B2a have better signal strength and higher accuracy, including code and carrier phase observations. The C/N0 of the B2a signal is about 3 dB higher than other signals. One exception is the code observation accuracy of B3I, which value is less than 0.15 m. The carrier precision of B1C and B2a is better than that of B1I/B2I/B3I. Despite difference-in-difference (DD) observation quantity or zero-base line evaluation is adopted, while B1C is about 0.3 mm higher carrier precision than B2a. The BDS-3 MEO satellite and GPS, Galileo, and QZSS satellites have the same level of signal strength, code and phase observation accuracy at the interoperable frequency, namely 1575.42 MHz and 1176.45 MHz which are very suitable for the co-position application. Full article
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<p>Beidou System (BDS) signals in the L band.</p>
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<p>The geographical location of Xi’an.</p>
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<p>Trimble receiver and choke antenna.</p>
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<p>Schematic diagram of the GNSS zero-baseline.</p>
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<p>C/N<sub>0</sub> values of some medium earth orbit (MEO) satellites on different frequencies.</p>
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<p>Comparison of Beidou System (BDS) signal carrier-to-noise ratio on different frequencies.</p>
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<p>Comparison of C/N<sub>0</sub> values of B1C, L1, E1 and L1 (QZSS).</p>
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<p>Comparison of CC values of MEO satellites at different frequencies (C14 vs. C24).</p>
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<p>Comparison of CC values of all types of satellites of BDS-2 and BDS-3.</p>
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<p>Comparison of CC values between BDS-3 and other GNSS signals at the same frequency.</p>
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<p>Elevation changes between BDS-3 and other GNSS-selected satellites.</p>
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<p>Comparison of MP values of MEO satellites (C14 vs. C24).</p>
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<p>Comparison of MP value between BDS-3 and other GNSS signals at the same frequency.</p>
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<p>Comparison of DD values between BDS-2 and BDS-3 at different frequency points.</p>
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<p>Comparison of DD value of BDS-3 and other GNSS signals.</p>
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<p>BDS-3 zero-baseline calculation results at different frequency points.</p>
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<p>GPS zero-baseline calculation results at different frequency points.</p>
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<p>Galileo GPS calculation results of zero-baseline.</p>
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14 pages, 27296 KiB  
Article
A Single-Difference Multipath Hemispherical Map for Multipath Mitigation in BDS-2/BDS-3 Short Baseline Positioning
by Chao Liu, Yuan Tao, Haiqiang Xin, Xingwang Zhao, Chunyang Liu, Haojie Hu and Tengfei Zhou
Remote Sens. 2021, 13(2), 304; https://doi.org/10.3390/rs13020304 - 17 Jan 2021
Cited by 18 | Viewed by 3237
Abstract
The BeiDou Navigation Satellite System (BDS) features a heterogeneous constellation so that it is difficult to mitigate the multipath in the coordinate-domain. Therefore, mitigating the multipath in the observation-domain becomes more important. Sidereal filtering is commonly used for multipath mitigation, which needs to [...] Read more.
The BeiDou Navigation Satellite System (BDS) features a heterogeneous constellation so that it is difficult to mitigate the multipath in the coordinate-domain. Therefore, mitigating the multipath in the observation-domain becomes more important. Sidereal filtering is commonly used for multipath mitigation, which needs to calculate the orbit repeat time of each satellite. However, that poses a computational challenge and damages the integrity at the end of the multipath model. Therefore, this paper proposes a single-difference model based on the multipath hemispherical map (SD-MHM) to mitigate the BDS-2/BDS-3 multipath in a short baseline. The proposed method is converted from double-difference residuals to single-difference residuals, which is not restricted by the pivot satellite transformation. Moreover, it takes the elevation and the azimuth angles of the satellite as the independent variables of the multipath model. The SD-MHM overcomes the unequal observation time of some satellites and does not require specific hardware. The experimental results show that the SD-MHM reduces the root mean square of the positioning errors by 56.4%, 63.9%, and 67.4% in the east, north, and vertical directions; moreover, it contributes to an increase in the baseline accuracy from 1.97 to 0.84 mm. The proposed SD-MHM has significant advantages in multipath mitigation compared with the advanced sidereal filtering method. Besides, the SD-MHM also features an excellent multipath correction capability for observation data with a period of more than seven days. Therefore, the SD-MHM provides a universal strategy for BDS multipath mitigation. Full article
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<p>The framework of the ASF and SD-MHM construction and multipath mitigation.</p>
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<p>The time shifts of GEO and IGSO ORTs.</p>
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<p>The time shifts of BDS-2/BDS-3 MEO ORTs.</p>
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<p>Observation environment around the stations.</p>
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<p>DOY 296/302/303 single-difference residuals series of C01/C11/C13/C29 and the elevation and azimuth angles.</p>
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<p>RMS of the original single-difference series and their series with multipath mitigation for the DOY 303 observed satellite.</p>
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<p>(<b>a</b>) SD-MHM model established by DOY 296–302; and (<b>b</b>) the distribution of DOY303 single-difference residuals.</p>
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<p>(<b>a</b>) DOY303 C29 single-difference residuals and ASF and SD-MHM multipath models and their mitigated series; and (<b>b</b>) the power spectral density of the mitigated series and the single-difference residuals.</p>
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<p>The original baseline series, ASF, and SD-MHM corrected series and C21 single-difference residuals at the adjacent periods.</p>
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<p>(<b>a</b>) HDOP, VDOP, and elevation of DOY303; and (<b>b</b>) the corrected series by the SD-MHM in the east, north, and vertical directions.</p>
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<p>The nine-day positioning accuracy in the east, north, and vertical directions and the baseline accuracy.</p>
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17 pages, 26774 KiB  
Article
Clustering Code Biases between BDS-2 and BDS-3 Satellites and Effects on Joint Solution
by Liang Chen, Min Li, Ying Zhao, Fu Zheng, Xuejun Zhang and Chuang Shi
Remote Sens. 2021, 13(1), 15; https://doi.org/10.3390/rs13010015 - 22 Dec 2020
Cited by 15 | Viewed by 2492
Abstract
China’s BeiDou navigation satellite system (BDS) has finished global constellation construction and can achieve joint solution, simultaneously relying on the B1I + B3I signals of the BDS-2 and BDS-3 satellites. For reasons mostly related to chip shape distortions, navigation satellite observations are corrupted [...] Read more.
China’s BeiDou navigation satellite system (BDS) has finished global constellation construction and can achieve joint solution, simultaneously relying on the B1I + B3I signals of the BDS-2 and BDS-3 satellites. For reasons mostly related to chip shape distortions, navigation satellite observations are corrupted by receiver-dependent code biases. Those biases are brought into observation residuals and degrade the pseudorange correction accuracy. Herein, we present a code bias estimation algorithm, using what we found to be an obvious clustering code bias phenomenon between the BDS-2 and BDS-3 satellites, leading to the systematic biases existing in the BDS-2+3 joint solution. Therefore, we propose a BDS-2+3 joint solution with code bias self-calibration, which can accurately strip off clustering code biases between the BDS-2 and BDS-3 satellites, and can greatly improve precise point positioning (PPP) convergence speed and accuracy. The statistics showed that the residual biases and root mean square (RMS) improved by 36% and 15% and the convergence time improved by approximately 35%. In the convergence stage, the positioning accuracy improved by approximately 38% and 21% in the horizontal and vertical directions, respectively. Meanwhile, in the post-convergence stage, the accuracy improved by approximately 10%. Full article
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<p>Distribution of experiment stations. SEPT, Septentrio.</p>
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<p>Average and stability of the BDS, 2 and BDS, 3 satellites’ inter, satellite code biases (ISCBs) of Septentrio and Trimble.</p>
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<p>BDS, 2 and BDS, 3 ISCB clustering of Septentrio (NKLG and REDU) and Trimble (BRST and MCHL).</p>
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<p>Station distribution of the BDS, 2+3 joint precise point positioning (PPP) test.</p>
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<p>BDS, 2 and BDS, 3 ISCBs clustering for the 90 stations chosen.</p>
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<p>Time series of the BDS, 2 and BDS, 3 ISCBs for the MCHL station in the first three hours.</p>
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<p>Comparison of the BDS, 2+3 pseudorange residuals before and after ISCB self, calibration. RMS, root mean square.</p>
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<p>A comparison of the horizontal and vertical convergence of BDS, 2+3 joint PPP with and without ISCB self, calibration of MCHL on day of year (DOY) 363 of 2019.</p>
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<p>BDS, 2+3 joint PPP comparison with and without ISCB self, calibration. CS, convergence stage accuracy; PS, post, convergence stage accuracy.</p>
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19 pages, 4345 KiB  
Article
LEO Onboard Real-Time Orbit Determination Using GPS/BDS Data with an Optimal Stochastic Model
by Xuewen Gong, Jizhang Sang, Fuhong Wang and Xingxing Li
Remote Sens. 2020, 12(20), 3458; https://doi.org/10.3390/rs12203458 - 21 Oct 2020
Cited by 17 | Viewed by 4181
Abstract
The advancements of Earth observations, remote sensing, communications and navigation augmentation based on low Earth orbit (LEO) platforms present strong requirements for accurate, real-time and autonomous navigation of LEO satellites. Precise onboard real-time orbit determination (RTOD) using the space-borne data of multiple global [...] Read more.
The advancements of Earth observations, remote sensing, communications and navigation augmentation based on low Earth orbit (LEO) platforms present strong requirements for accurate, real-time and autonomous navigation of LEO satellites. Precise onboard real-time orbit determination (RTOD) using the space-borne data of multiple global navigation satellite systems (multi-GNSS) becomes practicable along with the availability of multi-GNSS. We study the onboard RTOD algorithm and experiments by using America’s Global Positioning System (GPS) and China’s regional BeiDou Navigation Satellite System (BDS-2) space-borne data of the FengYun-3C satellite. A new pseudo-ambiguity parameter, which combines the constant phase ambiguity, the orbit and clock offset error of the GPS/BDS broadcast ephemeris in the line-of-sight (LOS), is defined and estimated in order to reduce the negative effect of the LOS error on onboard RTOD. The analyses on the variation of the LOS error in the GPS/BDS broadcast ephemeris indicate that the pseudo-ambiguity parameter could be modeled as a random walk, and the setting of the power spectral density in the random walk model decides whether the pseudo-ambiguity can be estimated reasonably and the LOS error could be reduced or not. For different types of GPS/BDS satellites, the LOS errors show different variation characteristics, so the power spectral density should be set separately and differently. A numerical search approach is presented in this paper to find the optimal setting of the power spectral density for each type of GPS/BDS satellite by a series of tests. Based on the optimal stochastic model, a 3-dimensional (3D) real-time orbit accuracy of 0.7–2.0 m for position and 0.7–1.7 mm/s for velocity could be achieved only with dual-frequency BDS measurements and the broadcast ephemeris, while a notably superior orbit accuracy of 0.3–0.5 m for position and 0.3–0.5 mm/s for velocity is achievable using dual-frequency GPS/BDS measurements, due to the absorption effect of the estimated pseudo-ambiguity on the LOS error of the GPS/BDS broadcast ephemeris. Compared to using GPS-alone data, the GPS/BDS fusion only marginally improves the onboard RTOD orbit accuracy by about 1–3 cm, but the inclusion of BDS satellites increases the number of the tracked GNSS satellites and thus speeds up the convergence of the filter. Furthermore, the GPS/BDS fusion could help suppress the local orbit errors, ensure the orbit accuracy and improve the reliability and availability of the onboard RTOD when fewer GPS satellites are tracked in some anomalous arcs. Full article
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<p>Line-of-sight (LOS) errors of the Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) satellites: (<b>a</b>) the LOS error curves of GPS (G01), geosynchronous Earth orbit (GEO) (C02), inclined geosynchronous Earth orbit (IGSO) (C10) and medium Earth orbit (MEO) (C14) satellites of BDS on DOY 71, 2015; (<b>b</b>) the LOS error curves of GPS (G02), GEO (C03), IGSO (C09) and MEO (C12) satellites of BDS on DOY 71, 2015; (<b>c</b>) the LOS error curves of the 2nd tracking arc of G01, the 1st one of C02, the 3rd one of C10 and the 7th of C14; (<b>d</b>) the LOS error curves of the 3rd tracking arc of G02, the 2nd one of C03, the 2nd one of C09 and the 4th of C12.</p>
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<p>The real-time orbit accuracies for different <math display="inline"><semantics> <mrow> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </semantics></math> in the GPS-alone and GPS+BDSN solutions.</p>
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<p>The real-time orbit accuracies for different <math display="inline"><semantics> <mrow> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </semantics></math> in the GPS+BDS and BDS-alone solutions.</p>
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<p>Comparison of the original true and estimated LOS errors: (<b>a</b>) the LOS errors caused by the broadcast ephemeris and estimated in pseudo-ambiguity on DOY 71, 2015; (<b>b</b>) the original and estimated LOS errors in a tracking arc.</p>
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<p>Comparison of original and residual LOS errors statistics.</p>
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<p>Number of tracked GPS/BDS satellites: (<b>a</b>) BDS-alone; (<b>b</b>) GPS-alone; (<b>c</b>) GPS and BDS IGSO/MEO fusion; (<b>d</b>) GPS and BDS fusion.</p>
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<p>Orbit accuracies comparison for different GPS/BDS fusion solutions: (<b>a</b>) orbit accuracy statistics at DOY 69–75, 2015; (<b>b</b>) orbit accuracy statistics at DOY 33─38, 2018; (<b>c</b>) orbit accuracy statistics at DOY 275–300, 2013.</p>
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<p>Position errors at the convergent stage for different GPS/BDS fusion solutions on DOY 69, 2015.</p>
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<p>Position errors of GPS-alone and GPS/BDS fusion solutions and the number of tracked global navigation satellite system (GNSS) satellites on DOY 297, 2013.</p>
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