CN104506478A - Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping - Google Patents
Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping Download PDFInfo
- Publication number
- CN104506478A CN104506478A CN201510013012.2A CN201510013012A CN104506478A CN 104506478 A CN104506478 A CN 104506478A CN 201510013012 A CN201510013012 A CN 201510013012A CN 104506478 A CN104506478 A CN 104506478A
- Authority
- CN
- China
- Prior art keywords
- group
- signal
- ofdm
- signals
- detector
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims description 7
- 239000011159 matrix material Substances 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims 1
- 238000004064 recycling Methods 0.000 claims 1
- 230000001629 suppression Effects 0.000 claims 1
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0452—Multi-user MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0023—Interference mitigation or co-ordination
- H04J11/0026—Interference mitigation or co-ordination of multi-user interference
- H04J11/0036—Interference mitigation or co-ordination of multi-user interference at the receiver
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/024—Channel estimation channel estimation algorithms
- H04L25/0256—Channel estimation using minimum mean square error criteria
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L25/03821—Inter-carrier interference cancellation [ICI]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Radio Transmission System (AREA)
Abstract
本发明公开了一种时变多用户MIMO-OFDM上行链路基于分组的线性迭代检测器,针对MIMO-OFDM系统上行链路,在基站检测信号时先将接收的信号分成子载波数相同的I组,然后在检测每组信号时将已检测出的上一组信号对该组的干扰消除。本发明首先对分组后的每组信号采用最小化均方误差检测算法进行组内检测,然后在检测每组信号时利用串行干扰抵消的算法将已检测出上一组信号对该组信号的干扰消除。经过干扰消除后的检测算法可提高每组的检测性能,从而提高整体检测器的性能。
The invention discloses a time-varying multi-user MIMO-OFDM uplink group-based linear iterative detector. For the MIMO-OFDM system uplink, when the base station detects the signal, the received signal is first divided into I with the same number of subcarriers. group, and then when detecting each group of signals, the interference of the detected previous group of signals to the group is eliminated. The present invention first uses the minimum mean square error detection algorithm for each group of signals after grouping to detect within the group, and then uses the algorithm of serial interference cancellation to detect the previous group of signals to the group of signals when detecting each group of signals Interference cancellation. The detection algorithm after interference cancellation can improve the detection performance of each group, thereby improving the performance of the overall detector.
Description
技术领域technical field
本发明涉及无线通信领域,特别涉及一种时变多用户MIMO-OFDM上行链路基于分组的线性迭代检测器。The invention relates to the field of wireless communication, in particular to a group-based linear iterative detector for a time-varying multi-user MIMO-OFDM uplink.
背景技术Background technique
信号检测是实现无线通信系统的一项关键技术。能否在接收端正确地检测出发射信号,是衡量一个无线通信系统性能的重要指标。检测算法可等价为接收端波束成形,能够降低多天线及多用户间的干扰,从而恢复出原始信号。检测算法可以分为线性检测算法与非线性检测算法,较为经典的线性检测方法有线性最小二乘(LS)、最小化均方误差(MMSE)等,这两种检测器能够应用到MIMO及MIMO-OFDM系统中,二者虽然计算过程简单但性能非常有限,且随着MIMO系统天线数的增加或OFDM系统子载波数的增加,这两种线性检测算法的计算复杂度也会相应增加。相比之下,干扰抵消检测思想能够获得更优越的性能,例如串行干扰抵消(SIC)多用户检测算法、并行干扰抵消(PIC)检测算法等,它们并不遵循先检测后解调的顺序,而是将检测与解调过程交替迭代进行,即对前一步检测得到的信号进行解调,将解调结果反馈至检测器的输入端给下一次检测使用,因此前一步检测性能将会影响到当前阶段的检测性能。但在MIMO-OFDM系统中,随着天线数与子载波总数的增加,信道矩阵维数随之增加,使得检测算法的复杂度急剧上升,无论是线性检测算法还是干扰抵消算法的复杂度都会增加。Signal detection is a key technology to realize wireless communication system. Whether the transmitted signal can be detected correctly at the receiving end is an important index to measure the performance of a wireless communication system. The detection algorithm can be equivalent to beamforming at the receiving end, which can reduce the interference between multiple antennas and multiple users, thereby restoring the original signal. Detection algorithms can be divided into linear detection algorithms and nonlinear detection algorithms. The more classic linear detection methods include linear least squares (LS), minimum mean square error (MMSE), etc. These two detectors can be applied to MIMO and MIMO -In the OFDM system, although the calculation process of the two is simple, the performance is very limited, and as the number of antennas in the MIMO system increases or the number of subcarriers in the OFDM system increases, the computational complexity of the two linear detection algorithms will increase accordingly. In contrast, the idea of interference cancellation detection can achieve superior performance, such as serial interference cancellation (SIC) multi-user detection algorithm, parallel interference cancellation (PIC) detection algorithm, etc., they do not follow the order of first detection and then demodulation , but the detection and demodulation process is iteratively carried out alternately, that is, the signal obtained by the previous step is demodulated, and the demodulation result is fed back to the input terminal of the detector for the next detection, so the detection performance of the previous step will affect Detection performance up to the current stage. However, in the MIMO-OFDM system, as the number of antennas and the total number of subcarriers increase, the dimension of the channel matrix increases, which makes the complexity of the detection algorithm rise sharply, and the complexity of both the linear detection algorithm and the interference cancellation algorithm will increase. .
因此,需要一种新的方法来解决信号检测问题。Therefore, a new approach is needed to solve the signal detection problem.
发明内容Contents of the invention
本发明的目的旨在提供一种时变多用户MIMO-OFDM上行链路基于分组的线性迭代检测器,以获得检测器性能与复杂度的良好折中。The purpose of the present invention is to provide a time-varying multi-user MIMO-OFDM uplink packet-based linear iterative detector to obtain a good compromise between detector performance and complexity.
本发明为解决上述技术问题采用以下技术方案:The present invention adopts the following technical solutions for solving the problems of the technologies described above:
首先将MIMO-OFDM系统基站接收到的频域信号分成子载波数相同的I组,根据计算每组的组内最小化均方误差检测器,并初始化y0=y,初始化循环次数n=1。然后计算||Gii||2,并从大到小排序,并记录排序结果的组标号集合φ,此步骤旨在优先检测信道状况较好的组。第三步检测第φ(n)组信号,即在检测第φ(n+1)接收信号时减去第φ(n)组信号对其的干扰,即令令n=n+1。最后重复上述检测步骤,直至所有信号被检测出来。First, the frequency domain signals received by the base station of the MIMO-OFDM system are divided into I groups with the same number of subcarriers, according to Calculate the within-group minimum mean square error detector for each group, and initialize y 0 =y, The number of initialization cycles n=1. Then calculate ||G ii || 2 , and sort from large to small, and record the group label set φ of the sorting result. This step aims to preferentially detect groups with better channel conditions. The third step is to detect the φ(n)th group of signals, namely When detecting the φ(n+1)th received signal, the interference of the φ(n)th group signal is subtracted, that is, Let n=n+1. Finally, the above detection steps are repeated until all signals are detected.
本发明采用以上技术方案与现有技术相比,具有以下技术效果:Compared with the prior art, the present invention adopts the above technical scheme and has the following technical effects:
采用的时变多用户MIMO-OFDM上行链路基于分组的线性迭代检测器,由于其利用串行干扰抵消的检测思想,因此每组信号检测前去掉了已检测的前一组信号对其的干扰,故与线性检测算法相比,其检测性能得到了提高。同时,针对宽带系统复杂度较高的特点,提出了对接收信号进行分组检测的思想,有效地降低了检测复杂度,在检测性能和复杂度之间取得了良好的折中。The time-varying multi-user MIMO-OFDM uplink packet-based linear iterative detector used, because it uses the detection idea of serial interference cancellation, the interference of the previous group of signals detected before each group of signals is detected , so compared with the linear detection algorithm, its detection performance has been improved. At the same time, in view of the high complexity of the broadband system, the idea of group detection for the received signal is proposed, which effectively reduces the detection complexity and achieves a good compromise between detection performance and complexity.
本发明附加的方面和优点将在下面的描述中部分给出,这些将从下面的描述中变得明显,或通过本发明的实践了解到。Additional aspects and advantages of the invention will be set forth in part in the description which follows, and will become apparent from the description, or may be learned by practice of the invention.
附图说明Description of drawings
图1是根据本发明一个系统示意图。Fig. 1 is a schematic diagram of a system according to the present invention.
图2是串行干扰抵消算法的流程图。Figure 2 is a flowchart of the serial interference cancellation algorithm.
具体实施方式Detailed ways
下面结合附图和具体实施例,进一步阐明本发明,应理解这些实施例仅用于说明本发明而不用于限制本发明的范围,在阅读了本发明之后,本领域技术人员对本发明的各种等价形式的修改均落于本申请所附权利要求所限定的范围。Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.
本发明一种时变多用户MIMO-OFDM上行链路基于分组的线性迭代检测器包括:利用分组的思想有效降低复杂度,再利用串行干扰抵消的检测方法提高检测器的性能。A time-varying multi-user MIMO-OFDM uplink linear iterative detector based on grouping of the present invention includes: effectively reducing the complexity by using the idea of grouping, and improving the performance of the detector by using the detection method of serial interference cancellation.
作为优选方案,根据分组的思想,首先将MIMO-OFDM系统基站接收到的频域信号分成子载波数相同的I组。As a preferred solution, according to the idea of grouping, the frequency domain signals received by the MIMO-OFDM system base station are first divided into I groups with the same number of subcarriers.
作为优选方案,根据计算每组的组内最小化均方误差检测器,并初始化y0=y,初始化循环次数n=1。然后计算||Gii||2,并从大到小排序,并记录排序结果的组标号集合φ,此步骤旨在优先检测信道状况较好的组。第三步检测第φ(n)组信号,即在检测第φ(n+1)接收信号时减去第φ(n)组信号对其的干扰,即令令n=n+1。最后重复上述检测步骤,直至所有信号被检测出来。As a preferred option, according to Calculate the within-group minimum mean square error detector for each group, and initialize y 0 =y, The number of initialization cycles n=1. Then calculate ||G ii || 2 , and sort from large to small, and record the group label set φ of the sorting result. This step aims to preferentially detect groups with better channel conditions. The third step is to detect the φ(n)th group of signals, namely When detecting the φ(n+1)th received signal, the interference of the φ(n)th group signal is subtracted, that is, Let n=n+1. Finally, the above detection steps are repeated until all signals are detected.
如图1所示,在将MIMO-OFDM系统基站接收到的频域信号分成子载波数相同的I组后,对每组信号进行组内最小化均方误差检测后,再采用串行干扰抵消方法将得到的信号还原成对应用户的原始信号。As shown in Figure 1, after the frequency domain signals received by the MIMO-OFDM system base station are divided into I groups with the same number of subcarriers, each group of signals is detected by the minimum mean square error within the group, and then serial interference cancellation is used The method restores the obtained signal to the original signal corresponding to the user.
如图2所示,检测与解调过程交替迭代进行,即对前一步检测得到的信号进行解调,将解调结果反馈至检测器的输入端给下一次检测使用,在检测本次信号时减去了上一组信号对其的干扰,提高了检测器的性能。As shown in Figure 2, the detection and demodulation process is carried out alternately and iteratively, that is, the signal detected in the previous step is demodulated, and the demodulation result is fed back to the input terminal of the detector for the next detection. When detecting this signal The interference of the previous group of signals is subtracted, which improves the performance of the detector.
本发明采用串行干扰抵消的检测思想,将检测与解调过程交替迭代进行,即对前一步检测得到的信号进行解调,将解调结果反馈至检测器的输入端给下一次检测使用,可以有效降低干扰,提高检测器的性能。由于子载波整体检测方法复杂度较高,因此,本发明引入了子载波分组检测的思想,获得检测性能与算法复杂度之间良好的折中。The present invention adopts the detection idea of serial interference cancellation, alternately and iteratively performs the detection and demodulation process, that is, demodulates the signal obtained in the previous step detection, and feeds back the demodulation result to the input terminal of the detector for use in the next detection. It can effectively reduce the interference and improve the performance of the detector. Since the overall subcarrier detection method has high complexity, the present invention introduces the idea of subcarrier group detection to obtain a good compromise between detection performance and algorithm complexity.
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510013012.2A CN104506478A (en) | 2015-01-09 | 2015-01-09 | Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510013012.2A CN104506478A (en) | 2015-01-09 | 2015-01-09 | Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104506478A true CN104506478A (en) | 2015-04-08 |
Family
ID=52948193
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510013012.2A Pending CN104506478A (en) | 2015-01-09 | 2015-01-09 | Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104506478A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105680984A (en) * | 2015-05-11 | 2016-06-15 | 南京理工大学 | Alternating group iterative detection method for broadband multiuser MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system |
CN112702103A (en) * | 2020-11-11 | 2021-04-23 | 山东星通易航通信科技有限公司 | VDES uplink received signal detection method based on serial interference elimination |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1429433A (en) * | 2000-03-15 | 2003-07-09 | 交互数字技术公司 | Multi-user detection using an adaptive combination of joint detection and successive interference cancellation |
US20130126713A1 (en) * | 2011-11-04 | 2013-05-23 | The University Court Of The University Of Edinburgh | Communication apparatus and method |
-
2015
- 2015-01-09 CN CN201510013012.2A patent/CN104506478A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1429433A (en) * | 2000-03-15 | 2003-07-09 | 交互数字技术公司 | Multi-user detection using an adaptive combination of joint detection and successive interference cancellation |
US20130126713A1 (en) * | 2011-11-04 | 2013-05-23 | The University Court Of The University Of Edinburgh | Communication apparatus and method |
Non-Patent Citations (2)
Title |
---|
XUAN NAM TRAN ET AL: "Groupwise Successive ICI Cancellation for OFDM Systems in Time-Varying Channels", 《2005 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY》 * |
樊迅 等: "一种新的排序最小均方误差串行干扰消除检测算法", 《上海交通大学学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105680984A (en) * | 2015-05-11 | 2016-06-15 | 南京理工大学 | Alternating group iterative detection method for broadband multiuser MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system |
CN112702103A (en) * | 2020-11-11 | 2021-04-23 | 山东星通易航通信科技有限公司 | VDES uplink received signal detection method based on serial interference elimination |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104769875B (en) | It is transmitted using the spectral efficient of Orthogonal Frequency Division Multiplexing | |
CN103155502B (en) | Interference signal parameters method of estimation and device | |
Al-Naffouri et al. | Impulsive noise estimation and cancellation in DSL using compressive sampling | |
CN104320369B (en) | A kind of alternative manner based on channel estimation errors and data detection error | |
CN104506470B (en) | A kind of II CPD algorithm of MMSE- suitable for parallel transmission system symbol detection | |
CN106357312B (en) | Grid reduction assisted breadth-first tree search MIMO detection method | |
Qiao et al. | Massive access in media modulation based massive machine-type communications | |
CN105610479B (en) | A kind of extensive MU-MIMO system channel estimation methods | |
CN107018110B (en) | A Blind Recognition Method of Space-Frequency Coding Based on Principal Component Sequence | |
CN106330276A (en) | Massive MIMO linear detection method and device based on SOR algorithm | |
Ran et al. | Sparse-aware minimum mean square error detector for MIMO systems | |
CN104283821A (en) | Discontinuous transmission detection and reception signal processing method | |
CN106357309A (en) | Method of large scale MIMO linear iterative detection under non-ideal channel | |
CN104506478A (en) | Time-variant multi-user MIMO-OFDM uplink linear iteration detector based on grouping | |
CN106877916A (en) | A Constellation Point Block Detection Method Based on Generalized Spatial Modulation System | |
CN107592183A (en) | A kind of multiuser signal detection method and device applied to non-orthogonal multiple system | |
CN105027477B (en) | Signal detection method and device | |
CN101330357A (en) | Method for feedback of channel condition information and net element equipment | |
CN105680984A (en) | Alternating group iterative detection method for broadband multiuser MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system | |
US8223896B2 (en) | Soft bit value generation in a sequence estimator | |
CN105337685A (en) | Turbo detection method and device | |
CN107070588A (en) | Receiver and receiving method of a simplified multiple access transmission system | |
CN108282423B (en) | Noise reduction method and system for MIMO channel estimation | |
Ali et al. | Receiver based PAPR reduction in OFDMA | |
CN101662337B (en) | Multi-input multi-output signal detection method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150408 |
|
WD01 | Invention patent application deemed withdrawn after publication |