CN119153933B - A GNSS enhancement antenna - Google Patents
A GNSS enhancement antenna Download PDFInfo
- Publication number
- CN119153933B CN119153933B CN202411604090.5A CN202411604090A CN119153933B CN 119153933 B CN119153933 B CN 119153933B CN 202411604090 A CN202411604090 A CN 202411604090A CN 119153933 B CN119153933 B CN 119153933B
- Authority
- CN
- China
- Prior art keywords
- baseband signal
- path
- gnss
- baseband
- operator
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005457 optimization Methods 0.000 claims abstract description 22
- 238000001914 filtration Methods 0.000 claims description 22
- 239000011159 matrix material Substances 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 17
- 230000008054 signal transmission Effects 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 11
- 238000004088 simulation Methods 0.000 claims description 7
- 230000002093 peripheral effect Effects 0.000 claims description 6
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 238000012821 model calculation Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 4
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 10
- 238000012545 processing Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000000087 stabilizing effect Effects 0.000 description 3
- 208000028257 Joubert syndrome with oculorenal defect Diseases 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 239000013078 crystal Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000002401 inhibitory effect Effects 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 240000001436 Antirrhinum majus Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000003381 stabilizer Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/21—Interference related issues ; Issues related to cross-correlation, spoofing or other methods of denial of service
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01Q—ANTENNAS, i.e. RADIO AERIALS
- H01Q1/00—Details of, or arrangements associated with, antennas
- H01Q1/27—Adaptation for use in or on movable bodies
- H01Q1/28—Adaptation for use in or on aircraft, missiles, satellites, or balloons
- H01Q1/288—Satellite antennas
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mathematical Physics (AREA)
- Astronomy & Astrophysics (AREA)
- Strategic Management (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Computational Mathematics (AREA)
- Algebra (AREA)
- Aviation & Aerospace Engineering (AREA)
- Development Economics (AREA)
- Software Systems (AREA)
- Mathematical Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
- Noise Elimination (AREA)
Abstract
The invention relates to the technical field of active GNSS positioning antennas, and discloses a GNSS enhancement antenna which comprises a radio frequency module and a baseband module, wherein the GNSS antenna is used for receiving satellite radio frequency signals and converting the satellite radio frequency signals into baseband signals, extracting satellite navigation data in the baseband signals, and a multipath optimization module comprises a multipath optimization unit, a multipath estimation unit and an estimation optimization model, the multipath optimization unit is used for detecting and estimating multipath components in the received baseband signals, determining the quantity and the intensity of the multipath, only one path of baseband signals exists in a serial path as an optimal path, and the estimation optimization model is used for optimizing the operator landing point of the baseband signals, so that multipath errors are reduced, and positioning accuracy is improved.
Description
Technical Field
The invention relates to the technical field of active GNSS positioning antennas, and discloses a GNSS enhanced antenna.
Background
Electronic products such as mobile phones and flat panels are limited by the size, and have no independent positioning antenna or small positioning antenna size, and radio frequency, baseband and the like related to a positioning circuit have no independent chip, so that the star searching capability of the electronic products is relatively poor. In a practical use scenario, for example, when a vehicle is driven, the mobile phone is used for navigation, the positioning antenna of the electronic product is often partially shielded, so that the number of satellites which can be searched by the positioning antenna is further reduced, the existing GNSS positioning antenna has only a radio signal receiving function, an analog signal is transmitted to GNSS positioning equipment by using a coaxial cable, an antenna interface is generally SMA, TNC, BNC, FAKRA and other interfaces, and the electronic products such as a mobile phone and a tablet cannot be used. Secondly, the GNSS signals arrive not only directly from the satellites at the receiver antenna, but also possibly after reflection from the surrounding environment. The signals on these additional paths may be superimposed with the direct signal, resulting in increased receiver measurement errors, thereby affecting positioning accuracy.
For example, the present chinese patent with the publication number CN114509792B discloses a high-precision GNSS mobile application enhancement positioning system and a working method thereof, which includes an external GNSS module and a mobile device connected with the external GNSS module by bluetooth, wherein the mobile device is internally provided with positioning auxiliary software and mobile application, the positioning auxiliary software is used for connecting with a CORS server and receiving and transmitting data to the CORS server, the external GNSS module includes a housing, the top of the housing is sequentially provided with a GNSS dual-frequency helical antenna and a switch button from back to front, the housing is internally provided with a positioning module, a single chip microcomputer, a storage battery, a wireless charging module, a bluetooth module, a SIM card slot and an SMA signal adapter located under the GNSS dual-frequency helical antenna, the bluetooth module is connected with a bluetooth antenna located outside the housing, the SMA signal adapter passes through the housing and is connected with the GNSS dual-frequency helical antenna, and the front side of the housing is provided with an installation sleeve for being sleeved on the mobile phone. The method can reliably transfer the position, precision and state information of the external GNSS module to mobile application, has small code modification quantity of the mobile application, and ensures stable operation of high-precision position service.
However, the above patent has the problems that the precision and the anti-interference capability of the GNSS module may be affected by the external environment and the parameters cannot be adaptively adjusted according to the change of the environment, and secondly, the signal reception is not processed and an optimal path is found, the precision is improved only by hardware, the current intelligent and automatic signal acquisition is difficult to meet, and the strength and accuracy of the signal cannot be judged.
Disclosure of Invention
In order to solve the above-mentioned problems, a primary object of the present invention is to provide a GNSS enhanced antenna, comprising:
a GNSS antenna;
The GNSS antenna is used for receiving weak radio frequency signals of satellites, converting the radio frequency signals into baseband signals and extracting satellite navigation data in the baseband signals;
The multipath optimization module comprises a multipath optimizing unit, a multipath estimating unit and an estimating optimizing model;
the multipath optimizing unit is used for detecting and estimating multipath components in the received baseband signal and determining the quantity and the strength of the multipath;
the estimated optimization model is used to optimize the baseband signal operator landing.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the GNSS antenna comprises a radio frequency module and a baseband module;
The radio frequency module comprises a GNSS radio frequency chip, a filtering unit, a frequency conversion unit and a frequency adjustment unit;
The baseband module is composed of a baseband selection unit, a GNSS baseband chip and peripheral components thereof.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the GNSS radio frequency chip is used for providing signal receiving, processing and positioning functions;
the filtering unit is used for inhibiting unnecessary frequency components of the radio frequency signals and reducing interference;
The filtering unit dynamically adjusts the filter coefficient through the self-adaptive filtering model to adapt to the unnecessary frequency components caused by environmental changes;
the frequency conversion unit is used for performing frequency conversion on the received radio frequency signals;
the frequency adjusting unit is used for stabilizing and adjusting the frequency so as to improve the accuracy and stability of the radio frequency signal.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
The adaptive filter model calculation expression is as follows:
;
Wherein, In order for the coefficients of the filter to be present,As an input radio frequency signal,In order to obtain a filtered signal, the signal,Is the total order of the filtering.The number of the radio frequency signal groups is gamma, and the filtering order is gamma;
Updating the filter coefficients, and updating the calculation expression as follows:
;
Wherein, As a step-size factor,As an error between the output of the filter and the desired signal,Is an updated value for the filter coefficients.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the multipath optimizing unit comprises a direct path model, a parallel path estimating model and an operator landing optimizing algorithm;
the direct path model is used for acquiring a baseband signal with only one path and acquiring an optimal path;
the parallel path estimation model establishes a baseband signal state matrix through a baseband signal flow equation, converts the baseband signal state matrix into a characteristic polynomial, calculates characteristic roots of the characteristic polynomial, establishes a baseband signal transmission operator through the characteristic roots, and simulates a baseband signal flow path through the baseband signal transmission operator to find an optimal path.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the baseband signal flow equation calculation expression is as follows:
;
Wherein, Is the baseband signal strength coefficient at the moment of the first path t,Is the baseband signal value at time t,Is the baseband signal intensity coefficient at the moment of the first path t+1,Is the baseband signal value at time t +1,Is the baseband signal intensity coefficient at the t+i time of the first path,Is the baseband signal value at time t + i,B i is the baseband signal intensity coefficient at the t+i time of the second path,N i is the baseband signal intensity coefficient at the t moment of the nth path, n i is the baseband signal intensity coefficient at the t+i moment of the nth path,Baseband signal strength from the t-th moment to t+i moment of the first path,Baseband signal intensity from t time t to t+i time t of the second path,The baseband signal intensity is from the nth path from the t moment to the t+i moment, n is the number of paths for signal transmission, and t is the time sequence.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
The baseband signal state matrix equation is as follows:
;
wherein B is a multipath baseband signal intensity matrix, F is a time stamp signal value from t to t+i, and Z is baseband signal intensity;
the baseband signal characteristic polynomial calculation expression is as follows:
;
Wherein, And E is an identity matrix, which is a characteristic root of the baseband signal intensity coefficients of different paths.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the baseband signal characteristic polynomial matrix form calculation expression is as follows:
;
Wherein, As the root of the characteristics, the method comprises the steps of,Is the characteristic rootThe corresponding feature vector is used to determine the feature vector,And j is the characteristic root number, which is the characteristic vector matrix intensity coefficient.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
the baseband signal transmission operator has the following calculation expression:
;
Wherein, The analog function is mapped to the baseband signal,For the base-band signal operator,As a first feature root of the first set of features,As the root of the c-th feature,Operator landing for the first path is signaled for the baseband signal,Operator landing for the second path is signaled for the baseband signal,The operator landing of the c-th path is conveyed for the baseband signal.
As a preferred embodiment of the GNSS enhanced antenna of the present invention, wherein:
The estimated optimization model judges the baseband signal intensity calculated by the parallel path estimated model through a baseband signal flow diagram simulation function, if the baseband signal flow diagram path is shortest and the baseband signal intensity calculated by substituting a baseband signal flow equation is the largest, a new baseband signal operator landing point covers an original baseband signal operator landing point, and the estimated optimization model calculation expression is as follows:
;
Wherein, For the baseband signal strength calculated by the new baseband signal operator landing,The baseband signal strength calculated for the original baseband signal operator landing,For the updated baseband signal operator landing,For the baseband signal operator landing,Is a random offset of the baseband signal.
The invention has the beneficial effects that:
The antenna with the specific pattern is designed to reduce signal interference from an unexpected direction, improve the quality of a direct path signal, better inhibit multipath signals and other interference by dynamically adjusting a filter coefficient, improve the signal quality, automatically adjust a filtering parameter according to the change of the environment, ensure that a receiver can keep good performance under different conditions, accurately calculate the delay of the multipath signals by analyzing the time sequence of the signals, provide basis for subsequent correction, and ensure that a multipath optimizing unit can optimize the signal processing flow, reduce multipath errors and improve the positioning accuracy.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a block diagram illustrating a GNSS enhanced antenna according to the present invention;
FIG. 2 is a flow chart of a GNSS enhanced antenna multipath optimizing unit processing a received satellite signal according to the present invention;
FIG. 3 is a schematic diagram of a GNSS enhanced antenna according to the present invention;
FIG. 4 is a simulation diagram of a GNSS enhanced antenna with multipath optimizing baseband signal transmission operators according to the present invention.
Reference numerals are 1, GNSS antenna, 2, SAW filter circuit, 3, radio frequency circuit, 4, baseband circuit, 5, bluetooth module, 6, bluetooth antenna, 7, and power supply.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
As shown in fig. 1, a GNSS enhanced antenna includes:
The energy supply module comprises a power supply management unit and an energy supply unit;
the power management unit comprises a DC-DC converter, a power voltage stabilizing unit, an energy supply unit management unit, a power monitoring unit and an energy optimizing unit;
Further, the DC-DC converter converts the input voltage into a desired stable output voltage by DC-DC conversion, for example, to lower the high voltage battery voltage to a low voltage at which the module operates.
The power supply voltage stabilization adopts a low-noise voltage stabilizer to ensure voltage stabilization so as to meet the requirements of sensitive electronic components.
The battery management unit is provided with a battery management system for monitoring the electric quantity, the temperature and the health condition of the battery, so as to avoid overcharge or overdischarge;
the power supply monitoring realizes the function of real-time current and voltage monitoring so as to dynamically adjust the power consumption and perform fault diagnosis.
The energy optimization implements the energy-saving mode and the dynamic power supply adjustment function, reduces the power consumption at low load and improves the energy efficiency of the whole system.
The energy supply unit selects a high-capacity lithium battery to support long-time operation and is provided with a charging management circuit.
The GNSS antenna comprises a radio frequency module and a baseband module;
The GNSS antenna is used for receiving weak radio frequency signals of satellites, converting the weak radio frequency signals into satellite navigation data and transmitting the satellite navigation data to the electronic equipment through Bluetooth;
The GNSS antenna comprises a patch antenna and a low noise amplifier;
Furthermore, the patch antenna is integrated into the portable device, so that the patch antenna is small in size and easy to manufacture;
The low-noise amplifier is used for improving the signal receiving capacity by adjusting the low-noise coefficient, improving the positioning precision and improving the signal receiving sensitivity;
GNSS frequency band comprises ：GPS L1：1.57542 GHz;GPS L2：1.2276 GHz;GLONASS L1：1.602 GHz;GLONASS L2：1.246 GHz;Galileo E1：1.57542 GHz;Galileo E5：1.192 GHz;Beidou B1：1.561 GHz;Beidou B2：1.207 GHz;
The radio frequency module comprises a GNSS radio frequency chip, a filtering unit, a frequency conversion unit and a frequency adjustment unit;
The GNSS radio frequency chip is used for providing radio frequency signal receiving, processing and positioning functions, and further, the GNSS radio frequency chip needs to select a proper GNSS radio frequency chip, such as a Qualcomm Snapdragon 865 integrated GNSS function or a high-precision u-blox M series chip;
the filtering unit is used for inhibiting unnecessary frequency components of the radio frequency signals and reducing interference;
the filtering unit dynamically adjusts the filter coefficient through the self-adaptive filtering model to adapt to the unnecessary frequency components caused by environmental changes;
The adaptive filter model calculation expression is as follows:
;
Wherein, In order for the coefficients of the filter to be present,As an input radio frequency signal,In order to obtain a filtered signal, the signal,Is the total order of the filtering.The number of the radio frequency signal groups is gamma, and the filtering order is gamma;
Updating the filter coefficients, and updating the calculation expression as follows:
;
Wherein, As a step-size factor,Is the error between the output of the filter and the desired signal,Is an updated value for the filter coefficients.
The frequency conversion unit is used for converting the high-frequency signal of the received radio-frequency signal to an intermediate frequency;
the frequency conversion unit comprises a mixer and a local oscillator, wherein the mixer is used for mixing an input signal with the local oscillator signal to generate an intermediate frequency signal, and the local oscillator generates a stable frequency signal for a mixing process;
The frequency adjusting unit is used for stabilizing and adjusting the frequency so as to improve the accuracy and stability of the radio frequency signal;
The frequency adjusting unit comprises an adjustable frequency synthesizer and a crystal oscillator, wherein the adjustable frequency synthesizer is used for providing a stable local oscillation signal, and the crystal oscillator is used for providing a high-precision reference frequency signal;
The radio frequency module converts the processed radio frequency signals into baseband signals and transmits the baseband signals to the baseband module;
the baseband module comprises a baseband selection unit, a GNSS baseband chip and peripheral components thereof;
the baseband selection unit is used for judging whether the baseband signal needs GNSS chip processing or not, if the CPU has insufficient calculation power, the baseband signal needs to be demodulated through the baseband module to extract navigation data such as satellite orbit parameters, time information and the like, so that the baseband module needs to be accessed;
the peripheral components include a memory, a power consumption management and decoupling circuit;
further, the memory includes RAM and flash memory for storing programs and data;
the power consumption management is used for monitoring and managing the power consumption of the chip;
The decoupling circuit is used for reducing weak noise generated by the baseband module and ensuring stability;
The multipath optimization module comprises a multipath optimizing unit, a multipath estimating unit and an estimating optimizing model;
As shown in fig. 2, the process of processing a received satellite signal by the multipath optimizing unit includes:
s101, GNSS receives signals;
s102, adaptive filtering processing;
s103, a multipath optimizing unit optimizes the optimal path of the signal;
S104, signal synthesis;
S105, signal positioning conversion;
S106, outputting a positioning result;
the multipath optimizing unit is used for detecting and estimating multipath components in the received baseband signal and determining the quantity and the strength of the multipath;
the multipath optimizing unit comprises a direct path model, a parallel path estimating model and an operator landing optimizing algorithm;
the multipath components screen baseband signals through a screener, and the screened baseband signal paths comprise a direct path and a parallel path;
If the same time stamp is adopted, the continuous baseband signals have the same amplitude and the same frequency, and the screener channel is provided with only one group of baseband signals, screening into a direct path, calculating a baseband signal path through the direct path, otherwise, entering into a parallel path, and estimating an optimal path of the baseband signals through the parallel path;
the direct path is a path corresponding to the baseband signal with only one path, and is taken as an optimal path;
The multipath estimation unit is used for estimating the number and the intensity of the baseband signal propagation paths;
the parallel path estimation model establishes a baseband signal state matrix through a baseband signal flow equation, converts the baseband signal state matrix into a baseband signal characteristic polynomial, calculates characteristic roots of the baseband signal characteristic polynomial, establishes a baseband signal transmission operator through the characteristic roots, and simulates a baseband signal flow path through the baseband signal transmission operator to find an optimal path;
The GNSS enhanced antenna also comprises a communication module, wherein the communication module comprises a Bluetooth unit and a Bluetooth antenna;
the Bluetooth unit and the Bluetooth antenna are used for transmitting the digital baseband signals or the navigation data to the electronic equipment.
Example two
Based on the first embodiment, the baseband signal flow equation calculation expression is as follows:
;
Wherein, Is the baseband signal strength coefficient at the moment of the first path t,Is the baseband signal value at time t,Is the baseband signal intensity coefficient at the moment of the first path t+1,Is the baseband signal value at time t +1,Is the baseband signal intensity coefficient at the t+i time of the first path,Is the baseband signal value at time t + i,B i is the baseband signal intensity coefficient at the t+i time of the second path,N i is the baseband signal intensity coefficient at the t moment of the nth path, n i is the baseband signal intensity coefficient at the t+i moment of the nth path,Baseband signal strength from the t-th moment to t+i moment of the first path,Baseband signal intensity from t time t to t+i time t of the second path,The baseband signal intensity is from the nth path from the t moment to the t+i moment, n is the number of paths for signal transmission, and t is the time sequence;
The baseband signal state matrix equation is as follows:
;
wherein B is a multipath baseband signal intensity matrix, F is a time stamp signal value from t to t+i, and Z is baseband signal intensity;
further, the method comprises the steps of, ,,;
It is possible to obtain a solution,;
The feature root calculation expression is as follows:
;
Wherein, Characteristic roots of baseband signal intensity coefficients of different paths;
calculating a feature vector through a feature root, wherein the variance of the feature vector reflects the influence of different paths of the baseband signal with the same time stamp on the strength of the baseband signal;
the baseband signal characteristic polynomial calculation expression is as follows:
;
Wherein, As the root of the characteristics, the method comprises the steps of,Is the characteristic rootThe corresponding feature vector is used to determine the feature vector,The characteristic vector matrix intensity coefficient is j, and the characteristic root number is j;
the baseband signal transmission operator has the following calculation expression:
;
Wherein, The analog function is mapped to the baseband signal,For the base-band signal operator,As a first feature root of the first set of features,As the root of the c-th feature,Operator landing for the first path is signaled for the baseband signal,Operator landing for the second path is signaled for the baseband signal,Transmitting operator landing points of a c-th path for the baseband signal;
as shown in fig. 4, the transmission paths of the three baseband signals simulated by the baseband signal flow diagram simulation function are R1, R2 and R3 respectively;
Further, the R1 path is the transmission path of the baseband signal, and finally transmitted to A5 through A0, A1, B2 and A4;
the R2 path is the transmission path of the baseband signal and finally transmitted to A5 through A0, A1, A2, A3 and A4;
The R3 path is the transmission path of the baseband signal and finally transmitted to A5 through A0, A1, A2, C1, C2 and A4;
the baseband signal flow diagram simulation function is used for simulating the transmission path of the baseband signal to generate a flow diagram;
the baseband signal operator is a baseband signal landing point;
Further, the baseband signal landing points are A0, A1, A2, A3, A4, A5, B1, B2, C1, C2 in fig. 4;
Further, the multipath estimation unit comprises a baseband signal receiver, a baseband signal regulator and a path estimation model;
The estimated optimization model judges the baseband signal intensity calculated by the parallel path estimated model through a baseband signal flow diagram simulation function, if the baseband signal flow diagram path is shortest and the baseband signal intensity calculated by substituting a baseband signal flow equation is the largest, a new baseband signal operator landing point covers an original baseband signal operator landing point, and the estimated optimization model calculation expression is as follows:
;
Wherein, For the baseband signal strength calculated by the new baseband signal operator landing,The baseband signal strength calculated for the original baseband signal operator landing,For the updated baseband signal operator landing,For the baseband signal operator landing,Is a random offset of the baseband signal.
Further, the method comprises the steps of,。
Example III
As shown in fig. 3, ANT is a GNSS antenna, SAW is a SAW filter circuit, GNSS RF is a GNSS radio frequency circuit, GNSS BB is a GNSS baseband circuit, and POWER is supplied with POWER;
The GNSS enhanced antenna comprises a GNSS antenna 1, a SAW filter circuit 2, a radio frequency circuit 3, a baseband circuit 4, a Bluetooth module 5, a Bluetooth antenna 6 and a power supply 7.
The GNSS antenna 1 is responsible for receiving radio frequency signals from satellites (such as GPS, beidou and the like), the SAW filter circuit 2 is responsible for filtering irrelevant other radio signals (such as base stations, wiFi, bluetooth and the like), the radio frequency circuit 3 is mainly composed of a GNSS radio frequency chip and peripheral components thereof and is responsible for receiving, amplifying, filtering, frequency converting and demodulating the signals to digital baseband signals, the baseband circuit 4 is mainly composed of a GNSS baseband chip and peripheral components thereof and is responsible for demodulating the baseband signals to extract navigation data such as satellite orbit parameters, time information and the like, the baseband circuit 4 is not necessary, if the CPU computing power of the electronic equipment is enough, the electronic equipment can carry out soft solution, the Bluetooth module 5 and the Bluetooth antenna 6 are responsible for sending the digital baseband signals or the navigation data to the electronic equipment, the power supply 7 is responsible for supplying power to the whole circuit, and solar batteries or lithium batteries can be used for supplying power due to low power consumption of the GNSS radio frequency chip, the Bluetooth module 5 and the like.
It is important to note that the construction and arrangement of the present application as shown in the various exemplary embodiments is illustrative only. Although only two embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible, for example, variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperature, pressure, etc.), mounting arrangements, use of materials, colors, orientations, etc., without materially departing from the novel teachings and advantages of the subject matter described in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of present application. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. Any means-plus-function clause is intended to cover the structures described herein as performing the function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present applications. Therefore, the application is not limited to the specific embodiments, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Furthermore, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those not associated with the best mode presently contemplated for carrying out the invention, or those not associated with practicing the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (8)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411604090.5A CN119153933B (en) | 2024-11-12 | 2024-11-12 | A GNSS enhancement antenna |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411604090.5A CN119153933B (en) | 2024-11-12 | 2024-11-12 | A GNSS enhancement antenna |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN119153933A CN119153933A (en) | 2024-12-17 |
| CN119153933B true CN119153933B (en) | 2025-03-21 |
Family
ID=93812937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411604090.5A Active CN119153933B (en) | 2024-11-12 | 2024-11-12 | A GNSS enhancement antenna |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119153933B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110888150A (en) * | 2019-12-12 | 2020-03-17 | 成都航空职业技术学院 | Method and system for restraining multipath of GNSS receiver |
| CN115436974A (en) * | 2022-07-25 | 2022-12-06 | 中国电子科技集团公司第二十九研究所 | High-precision receiving and processing system and method suitable for low-orbit navigation enhancement system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101839386B1 (en) * | 2011-08-12 | 2018-03-16 | 삼성전자주식회사 | Apparatus and method for adaptively beam-forming in wireless communication system |
| CN105549036B (en) * | 2016-01-07 | 2018-06-29 | 西安电子科技大学昆山创新研究院 | A kind of algorithm of navigational satellite receiver Suppression of narrow band interference |
| US11287531B2 (en) * | 2020-07-14 | 2022-03-29 | Spirent Communications, Plc | Architecture for providing forecasts of GNSS obscuration and multipath |
| CN118763417A (en) * | 2024-06-07 | 2024-10-11 | 国网思极位置服务有限公司 | A common aperture phased array antenna for low-orbit satellites |
-
2024
- 2024-11-12 CN CN202411604090.5A patent/CN119153933B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110888150A (en) * | 2019-12-12 | 2020-03-17 | 成都航空职业技术学院 | Method and system for restraining multipath of GNSS receiver |
| CN115436974A (en) * | 2022-07-25 | 2022-12-06 | 中国电子科技集团公司第二十九研究所 | High-precision receiving and processing system and method suitable for low-orbit navigation enhancement system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN119153933A (en) | 2024-12-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6993297B2 (en) | Apparatus and methods for tuning antenna impedance using transmitter and receiver parameters | |
| EP2478734B1 (en) | Method and apparatus for location fingerprinting | |
| EP2664944B1 (en) | Mobile terminal and parameter calibration method for global positioning system | |
| CN107222912A (en) | A kind of method of adjust automatically transmission power, apparatus and system | |
| WO2020234902A1 (en) | Radio mapping architecture for applying machine learning techniques to wireless radio access networks | |
| US11368913B2 (en) | Baseband power estimation and feedback mechanism | |
| US20170338850A1 (en) | Adaptive Antenna Selection for Interference Mitigation | |
| US11533640B2 (en) | Machine learning-assisted use case classification and adaptive antenna tuning | |
| US20230258825A1 (en) | Satellite signal processing method and satellite positioning apparatus | |
| US20080102874A1 (en) | Control of transmit power of a second transmitter based on antenna loading parameters measured on a first transmitter | |
| CN110504544A (en) | Aerial angle adjusting method, signal projector and storage medium | |
| US11438023B1 (en) | Electronic devices with hierarchical management of radio-frequency exposure | |
| CN109490912A (en) | GPS antenna switching method, storage medium and GPS device | |
| CN115113245A (en) | Positioning device and positioning system based on low-power-consumption Bluetooth | |
| DE102022105678A1 (en) | ELECTRONIC DEVICES WITH ULTRA CLOSE RANGE OBJECT DETECTION WITH BACKGROUND SUPPRESSION | |
| AU2017249006A1 (en) | Enhanced system acquisition for wearables | |
| CN119153933B (en) | A GNSS enhancement antenna | |
| CN106025503A (en) | Global navigation satellite system (GNSS) antenna system of mobile terminal, mobile terminal and electronic equipment | |
| CN105242290A (en) | Beidou miniaturized transceiver | |
| CN115062729A (en) | Classification model and training method, classification method, device and medium thereof | |
| CN101488771B (en) | Optimization method for mobile phone front end receiving sensitivity | |
| CN214201785U (en) | Integrated base station antenna RTK positioning and orientation equipment | |
| US20230370176A1 (en) | Antenna blocking alarm method, and communication chip and device | |
| CN116500651A (en) | Satellite signal receiver board card and receiving method | |
| Constantin et al. | Innovative Dual-Band Antenna for Reliable LoRa IoT Connectivity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |