CN107733487A - A kind of signal detecting method and device of extensive multi-input multi-output system - Google Patents

A kind of signal detecting method and device of extensive multi-input multi-output system Download PDF

Info

Publication number
CN107733487A
CN107733487A CN201710942261.9A CN201710942261A CN107733487A CN 107733487 A CN107733487 A CN 107733487A CN 201710942261 A CN201710942261 A CN 201710942261A CN 107733487 A CN107733487 A CN 107733487A
Authority
CN
China
Prior art keywords
signal
iteration
msub
mrow
matrix
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.)
Granted
Application number
CN201710942261.9A
Other languages
Chinese (zh)
Other versions
CN107733487B (en
Inventor
陈月云
罗声
姚琳
杜利平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Science and Technology Beijing USTB
Original Assignee
University of Science and Technology Beijing USTB
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by University of Science and Technology Beijing USTB filed Critical University of Science and Technology Beijing USTB
Priority to CN201710942261.9A priority Critical patent/CN107733487B/en
Publication of CN107733487A publication Critical patent/CN107733487A/en
Application granted granted Critical
Publication of CN107733487B publication Critical patent/CN107733487B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • 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
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H04B7/0854—Joint weighting using error minimizing algorithms, e.g. minimum mean squared error [MMSE], "cross-correlation" or matrix inversion

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Radio Transmission System (AREA)

Abstract

The present invention provides a kind of signal detecting method and device of extensive multi-input multi-output system, can carry out parallel iteration calculating, effectively reduce detection computation complexity.Methods described includes：Obtain the channel matrix of extensive multiple-input and multiple-output up-line system and the reception signal of base station side；Matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains matched filtering output and the least mean-square error filtering matrix of the reception signal；According to the matched filtering output of the obtained reception signal and least mean-square error filtering matrix, construction sends the Iteration of signal；It is iterated according to the Iteration of the transmission signal of construction, until meeting that default stopping criterion for iteration terminates iteration, estimate of the currently available value for sending signal as originally transmitted signal.The present invention relates to wireless communication technology field.

Description

A kind of signal detecting method and device of extensive multi-input multi-output system
Technical field
The present invention relates to wireless communication technology field, particularly relates to a kind of signal inspection of extensive multi-input multi-output system Survey method and device.
Background technology
Extensive multiple-input and multiple-output (Massive Multiple-Input Multiple-Output, Massive MIMO) system disposes large-scale antenna array in base station side, and multiple user terminals for same frequency range in cellular cell carry simultaneously For service, the spatial degrees of freedom of system is fully excavated, the overall utilization rate of frequency spectrum resource is lifted, improves link reliability, increase Signal cover, there is provided the faster rate of information throughput.
Although Massive MIMO have superior performance, Massive mimo systems are applied to actual wireless Great challenge is still faced with transmission, one of them is exactly the realization of signal detection algorithm.With significantly carrying for antenna amount Rise, traditional linear detection algorithm, such as least mean-square error (minimum mean square error, MMSE) and ZF The computation complexity of (zero-forcing, ZF) signal detection algorithm also greatly promotes.Main computation complexity is to need Make inversion operation (K is transmitting antenna number) to K × kth moment battle array, computation complexity reaches O (K3).Therefore when K values increase, such as Fruit is with the computational methods directly inverted, then computation complexity is very huge, while corresponding hardware system is also difficult to.
In order to avoid the matrix of high complexity is accurately inverted, researcher is proposed based on Gauss Saden that (Gauss- Seidel, GS) alternative manner and continuous overrelaxation (successive overrelaxation, SOR) alternative manner Massive MIMO detection algorithms, system of linear equations is solved by alternative manner, can be by the complexity of detection algorithm by O (K3) Fall below O (K2).But GS and SOR Iterative detection algorithms are due to the characteristic of Iteration, it is impossible to carry out parallel computation.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of signal detecting method of extensive multi-input multi-output system And device, to solve, traditional linear detection algorithm computation complexity present in prior art is high, GS and SOR iterative detections are calculated Method can not carry out the problem of parallel computation.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of signal inspection of extensive multi-input multi-output system Survey method, including：
Obtain the channel matrix of extensive multiple-input and multiple-output up-line system and the reception signal of base station side；
Matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains the matched filtering of the reception signal Output and least mean-square error filtering matrix；
According to the matched filtering output of the obtained reception signal and least mean-square error filtering matrix, construction sends letter Number Iteration；
It is iterated according to the Iteration of the transmission signal of construction, until meeting that default stopping criterion for iteration terminates to change Generation, estimate of the currently available value for sending signal as originally transmitted signal.
Further, the described pair of channel matrix obtained and reception signal carry out matched filtering, obtain the reception The matched filtering output of signal and least mean-square error filtering matrix include：
By matched filter, matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains described connect The matched filtering output y of the collection of letters numberMF=HHY and least mean-square error filtering matrix W=G+N0IK；
Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel square Battle array, ()HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IK K dimension unit matrixs are represented, K represents the number of the total transmitting antenna of user terminal.
Further, the Gram matrixes G is expressed as：G=HHH；
Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
Further, the Iteration for sending signal is expressed as：
x(m)=Bx(m-1)+c
Wherein, x represents the originally transmitted signal of user terminal, and m represents the m times iteration, and B represents Iterative Matrix, and c represents to change Generation vector, k is the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
Further, the Iteration of the transmission signal according to construction is iterated, until meeting default iteration End condition terminates iteration, and the value of currently available transmission signal includes as the estimate of originally transmitted signal：
It is iterated according to the Iteration of the transmission signal of construction, when current iteration number reaches default greatest iteration After number L, terminate iteration, the value x of currently available transmission signal(L)For the estimate of originally transmitted signal.
The embodiment of the present invention also provides a kind of signal supervisory instrument of extensive multi-input multi-output system, including：
Acquiring unit, for obtaining the channel matrix of extensive multiple-input and multiple-output up-line system and connecing for base station side The collection of letters number；
Matched filter, for carrying out matched filtering to the channel matrix and reception signal of acquisition, obtain described connect The matched filtering output of the collection of letters number and least mean-square error filtering matrix；
Structural unit, for the matched filtering output according to the obtained reception signal and least mean-square error filtering square Battle array, construction send the Iteration of signal；
Determining unit, the Iteration for the transmission signal according to construction are iterated, until meeting default iteration End condition terminates iteration, estimate of the currently available value for sending signal as originally transmitted signal.
Further, the matched filter, for carrying out matching filter to the channel matrix and reception signal of acquisition Ripple, obtain the matched filtering output y of the reception signalMF=HHY and least mean-square error filtering matrix W=G+N0IK；
Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel square Battle array, ()HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IK K dimension unit matrixs are represented, K represents the number of the total transmitting antenna of user terminal.
Further, the Gram matrixes G is expressed as：G=HHH；
Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
Further, the Iteration for sending signal is expressed as：
x(m)=Bx(m-1)+c
Wherein, x represents the originally transmitted signal of user terminal, and m represents the m times iteration, and B represents Iterative Matrix, and c represents to change Generation vector, k is the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
Further, the determining unit, it is iterated specifically for the Iteration of the transmission signal according to construction, when After current iteration number reaches default maximum iteration L, terminate iteration, the value x of currently available transmission signal(L)For original Originate the estimate for the number of delivering letters.
The above-mentioned technical proposal of the present invention has the beneficial effect that：
In such scheme, the channel matrix of extensive multiple-input and multiple-output up-line system and the reception of base station side are obtained Signal；Matched filtering is carried out to the channel matrix and reception signal of acquisition, the matched filtering for obtaining the reception signal is defeated Go out and least mean-square error filtering matrix；Filtered according to the matched filtering output of the obtained reception signal and least mean-square error Ripple matrix, construction send the Iteration of signal；It is iterated according to the Iteration of the transmission signal of construction, until meeting pre- If stopping criterion for iteration terminate iteration, the estimate of the value of currently available transmission signal as originally transmitted signal.So, The iteration of the transmission signal constructed by using the matched filtering output of the reception signal and least mean-square error filtering matrix The method that form determines originally transmitted signal estimate, it can carry out parallel iteration calculating, can effectively reduce detection and calculate Complexity, convergence rate is improved, and do not influence the realization of the error performance, more conducively hardware platform of detection, meanwhile, in iteration meter Iterations can flexibly be changed in calculation, so as to realize different computational accuracies, can adapt to the property in different application scenarios Can demand.
Brief description of the drawings
Fig. 1 is the flow signal of the signal detecting method of extensive multi-input multi-output system provided in an embodiment of the present invention Figure；
Fig. 2 be fast linear iteration detection method provided in an embodiment of the present invention and directly invert MMSE detection algorithms, GS Iterative detection algorithms, SOR Iterative detection algorithms real number field computation complexity contrast schematic diagram；
Fig. 3 is that the transmitting antenna number that all user terminals are total in base station is 32, when base station reception antenna number is 256, is used Fast linear iteration detection method provided in an embodiment of the present invention and other Iterative detection algorithms are when maximum iteration is 2 Bit error rate contrast schematic diagram；
Fig. 4 is that the transmitting antenna number that all user terminals are total in base station is 32, when base station reception antenna number is 256, is used Fast linear iteration detection method provided in an embodiment of the present invention and other Iterative detection algorithms are when maximum iteration is 3 Bit error rate contrast schematic diagram；
Fig. 5 is the structural representation of the signal supervisory instrument of extensive multi-input multi-output system provided in an embodiment of the present invention Figure.
Embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool Body embodiment is described in detail.
The present invention is directed to existing traditional linear detection algorithm computation complexity height, GS and SOR Iterative detection algorithms not The problem of parallel computation can be carried out, there is provided a kind of signal detecting method and device of extensive multi-input multi-output system.
Embodiment one
As shown in figure 1, the signal detecting method of extensive multi-input multi-output system provided in an embodiment of the present invention, bag Include：
S101, obtain the channel matrix of extensive multiple-input and multiple-output up-line system and the reception signal of base station side；
S102, matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains of the reception signal With filtering output and least mean-square error filtering matrix；
S103, according to the matched filtering output of the obtained reception signal and least mean-square error filtering matrix, construction Send the Iteration of signal；
S104, it is iterated according to the Iteration of the transmission signal of construction, until meeting default stopping criterion for iteration Terminate iteration, estimate of the currently available value for sending signal as originally transmitted signal.
The signal detecting method of extensive multi-input multi-output system described in the embodiment of the present invention, obtain extensive how defeated Enter the channel matrix of multi output up-line system and the reception signal of base station side；The channel matrix and reception to acquisition are believed Number carry out matched filtering, obtain matched filtering output and the least mean-square error filtering matrix of the reception signal；According to obtaining The reception signal matched filtering output and least mean-square error filtering matrix, construction send signal Iteration；Root It is iterated according to the Iteration of the transmission signal of construction, until meet that default stopping criterion for iteration terminates iteration, it is current to obtain Estimate of the value of the transmission signal arrived as originally transmitted signal.So, by using the matched filtering of the reception signal The Iteration of the transmission signal of output and least mean-square error filtering matrix construction determines the side of originally transmitted signal estimate Method, it can carry out parallel iteration calculating, can effectively reduce detection computation complexity, improve convergence rate, and do not influence to examine The realization of the error performance of survey, more conducively hardware platform, meanwhile, it can flexibly change iterations in iterative calculation, so as to Different computational accuracies is realized, can adapt to the performance requirement in different application scenarios.
The signal detecting method of the extensive multi-input multi-output system provided in an embodiment of the present invention is referred to as Massive MIMO fast linear iteration detection methods.
Massive MIMO fast linear iteration detection methods described in embodiment for a better understanding of the present invention, can be with Establish a Massive mimo channels model and carry out simulated operation, (up-link transmission refers in up-link transmission：User Terminal sends signal, base station received signal) in scene, base station side need to configure large-scale antenna array, be more in same frequency range Individual user terminal provides service simultaneously, and each user terminal configures multiple antenna, and multithread is sent, and base station side receiver is according to connecing The collection of letters number (wherein, reception signal is indicated in vector form) and channel matrix, using described in the embodiment of the present invention To originally transmitted signal, (wherein, originally transmitted signal enters MassiveMIMO fast linears iteration detection method in vector form Row represents) reduced；Specifically：
In Massive MIMO up-line systems, if there are N root reception antennas, the total transmitting antenna of user terminal in base station Number be K roots, the number N of reception antenna is more than the number K of transmitting antenna；Will be parallel caused by M multiple antennas user terminal Bit stream carries out constellation symbol mapped, then takes planisphere set energy normalized.Use x=[x1,x2,...,xK]TRepresent The originally transmitted signal of user terminal, the transmission symbol of K transmitting antenna is included in x, planetary is entered using 16-QAM modes Mapping.H represents that dimension is N × K channel matrix, therefore the reception signal y of base station side can be expressed as：
Y=Hx+n
Wherein, reception signal y be N × 1 vector, y=[y1,y2,...,yN]T；N is the additive white Gaussian noise of N × 1 Vector, it is N that its element, which obeys zero-mean variance,0Gaussian Profile, the task of uplink multiuser signal detection is exactly base station Side receiver is to reception signal y=[y1,y2,...,yN]TEstimate the originally transmitted signal x of user terminal.Assuming that channel matrix H is, it is known that be flat Rayleigh fading channel, it is the independent same distribution that 0 variance is 1 that its element, which obeys average, is missed using lowest mean square Poor (MMSE) linearity test is theoretical, by the vectorial estimate of originally transmitted signalIt is expressed as：
Wherein, ()HRepresent conjugate transposition, yMFRepresent the matched filtering output of reception signal, yMFEnter in vector form Row represents that W represents least mean-square error filtering matrix, N0Represent noise variance, IKK dimension unit matrixs are represented, K represents that user is whole Hold the number of total transmitting antenna.
If calculated using the method directly inverted to WIts complexity is O (K3), when K values increase, the method is answered Miscellaneous degree is in exponential increase, is unfavorable for the realization of hardware system.In order to reduce computation complexity, the present embodiment is asked using alternative manner SolutionAvoid the direct inversion operation of matrix.
Above formula solvesProcess can be equivalent to solve linear equation：
Use solution by iterative methodConstruction is needed to send the Iteration of signal, then the result obtained by the m times iteration is：
x(m)=Bx(m-1)+c
Wherein, B represents Iterative Matrix, and c represents iterative vectorized.
Iterative Matrix B has a significant impact to the rate of convergence of iterative algorithm, it is therefore desirable to which iteration can be calculated by constructing one The Iterative Matrix B of method Fast Convergent, using the element on MMSE filtering matrix W diagonal and provide new Iteration, A Fast Convergent factor k is added in Iteration, obtains Iterative Matrix B and iterative vectorized c：
Wherein, 1≤k≤K, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
In the present embodiment, as an alternative embodiment, the described pair of channel matrix obtained and reception signal progress With filtering, the matched filtering output and least mean-square error filtering matrix for obtaining the reception signal include：
By matched filter, matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains described connect The matched filtering output y of the collection of letters numberMF=HHY and least mean-square error filtering matrix W=G+N0IK；
Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel square Battle array, ()HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IK K dimension unit matrixs are represented, K represents the number of the total transmitting antenna of user terminal.
In the present embodiment, base station services M user terminal simultaneously, and the antenna number of i-th of user terminal configuration is Ki, total hair Penetrate antenna number
In the present embodiment, as another alternative embodiment, the Gram matrixes G is expressed as：G=HHH；
Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
In the present embodiment, as yet another alternative embodiment, the Iteration for sending signal is expressed as：
x(m)=Bx(m-1)+c
Wherein, x represents the originally transmitted signal of user terminal, and m represents the m times iteration, and B represents Iterative Matrix, and c represents to change Generation vector, k is the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
In the present embodiment, 1≤k≤K, for example, k=K can be made.
In the present embodiment, as an alternative embodiment, the Iteration of the transmission signal according to construction is iterated, Until meeting that default stopping criterion for iteration terminates iteration, value the estimating as originally transmitted signal of currently available transmission signal Evaluation includes：
It is iterated according to the Iteration of the transmission signal of construction, when current iteration number reaches default greatest iteration After number L, terminate iteration, the value x of currently available transmission signal(L)For the estimate of originally transmitted signal.
In the present embodiment, it is L to make default maximum iteration, according to the Iteration x of the transmission signal of construction(m)= Bx(m-1)+ c, the initial solution vector x that K × 1 is tieed up(0)Bring into and be iterated calculating, when m value is L, iteration terminates, now X(L)The estimate of as originally transmitted signalNow, the multiplication number of required progress is (LK2+ K), because L is smaller, and not Increase with K increase, so computation complexity is O (K2)。
Massive MIMO fast linear iteration detection methods described in the embodiment of the present invention can spirit in iterative calculation It is living to change iterations, so as to realize different computational accuracies, it can adapt to the performance requirement in different application scenarios.
In the present embodiment, when iterations is respectively 2 and 4, the computation complexity (real multiplications quantity) of algorithms of different Comparing result is shown in Fig. 2, as shown in Figure 2, Massive MIMO fast linear iteration detection methods described in the embodiment of the present invention Complexity is far below the MMSE detection algorithms directly inverted, and is approached with the complexity of GS, SOR Iterative detection algorithm；From parallel From the point of view of calculating, the Massive MIMO fast linears iteration detection method described in the embodiment of the present invention can be carried out well Parallel computation, and GS and SOR Iterative detection algorithms can not carry out parallel computation.In the Massive that antenna configuration is 256 × 32 When being emulated in mimo system, mapped using 16-QAM, simulation result is shown in Fig. 3, Fig. 4, by obtaining bit error rate in Fig. 3, Fig. 4 (BER) comparing result can be seen that the MassiveMIMO fast linear iteration detection methods described in the embodiment of the present invention, examine Survey in performance better than GS Iterative detection algorithms and SOR Iterative detection algorithms.
To sum up, the Massive MIMO fast linear iteration detection methods described in the embodiment of the present invention, not only effectively reduce Massive MIMO detect the computation complexity of originally transmitted signal, and do not influence the error performance of detection；Meanwhile in iteration Iterations can flexibly be changed in calculating, so as to realize different computational accuracies, can adapt in different application scenarios Performance requirement；Compared with other iterative algorithms, the Massive MIMO fast linears iterative detection side described in the embodiment of the present invention Method convergence rate faster, and can carry out the realization of parallel computation, more conducively hardware platform.
Embodiment two
The present invention also provides a kind of embodiment of the signal supervisory instrument of extensive multi-input multi-output system, by Signal supervisory instrument and foregoing extensive multiple-input and multiple-output system in extensive multi-input multi-output system provided by the invention The embodiment of the signal detecting method of system is corresponding, and the signal supervisory instrument of the extensive multi-input multi-output system can To realize the purpose of the present invention by performing the process step in above method embodiment, thus it is above-mentioned extensive more The explanation inputted in the signal detecting method embodiment of multiple output system, is also applied for big rule provided by the invention The embodiment of the signal supervisory instrument of mould multi-input multi-output system, will in the embodiment below the present invention Repeat no more.
As shown in figure 5, the embodiment of the present invention also provides a kind of signal supervisory instrument of extensive multi-input multi-output system, Including：
Acquiring unit 11, for obtaining the channel matrix and base station side of extensive multiple-input and multiple-output up-line system Reception signal；
Matched filter 12, for carrying out matched filtering to the channel matrix and reception signal of acquisition, obtain described The matched filtering output of reception signal and least mean-square error filtering matrix；
Structural unit 13, for the matched filtering output according to the obtained reception signal and least mean-square error filtering Matrix, construction send the Iteration of signal；
Determining unit 14, the Iteration for the transmission signal according to construction are iterated, until meeting default change Terminate iteration, estimate of the currently available value for sending signal as originally transmitted signal for end condition.
The signal supervisory instrument of extensive multi-input multi-output system described in the embodiment of the present invention, obtain extensive how defeated Enter the channel matrix of multi output up-line system and the reception signal of base station side；The channel matrix and reception to acquisition are believed Number carry out matched filtering, obtain matched filtering output and the least mean-square error filtering matrix of the reception signal；According to obtaining The reception signal matched filtering output and least mean-square error filtering matrix, construction send signal Iteration；Root It is iterated according to the Iteration of the transmission signal of construction, until meet that default stopping criterion for iteration terminates iteration, it is current to obtain Estimate of the value of the transmission signal arrived as originally transmitted signal.So, by using the matched filtering of the reception signal The Iteration of the transmission signal of output and least mean-square error filtering matrix construction determines the side of originally transmitted signal estimate Method, it can carry out parallel iteration calculating, can effectively reduce detection computation complexity, improve convergence rate, and do not influence to examine The realization of the error performance of survey, more conducively hardware platform, meanwhile, it can flexibly change iterations in iterative calculation, so as to Different computational accuracies is realized, can adapt to the performance requirement in different application scenarios.
In the embodiment of the signal supervisory instrument of foregoing extensive multi-input multi-output system, further, The matched filter, for carrying out matched filtering to the channel matrix and reception signal of acquisition, obtain described receive and believe Number matched filtering output yMF=HHY and least mean-square error filtering matrix W=G+N0IK；
Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel square Battle array, ()HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IK K dimension unit matrixs are represented, K represents the number of the total transmitting antenna of user terminal.
In the embodiment of the signal supervisory instrument of foregoing extensive multi-input multi-output system, further, The Gram matrixes G is expressed as：G=HHH；
Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
In the embodiment of the signal supervisory instrument of foregoing extensive multi-input multi-output system, further, The Iteration for sending signal is expressed as：
x(m)=Bx(m-1)+c
Wherein, x represents the originally transmitted signal of user terminal, and m represents the m times iteration, and B represents Iterative Matrix, and c represents to change Generation vector, k is the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
In the embodiment of the signal supervisory instrument of foregoing extensive multi-input multi-output system, further, The determining unit, it is iterated specifically for the Iteration of the transmission signal according to construction, when current iteration number reaches After default maximum iteration L, terminate iteration, the value x of currently available transmission signal(L)For the estimation of originally transmitted signal Value.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality Body or operation make a distinction with another entity or operation, and not necessarily require or imply and deposited between these entities or operation In any this actual relation or order.
Described above is the preferred embodiment of the present invention, it is noted that for those skilled in the art For, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, these improvements and modifications It should be regarded as protection scope of the present invention.

Claims (10)

  1. A kind of 1. signal detecting method of extensive multi-input multi-output system, it is characterised in that including：
    Obtain the channel matrix of extensive multiple-input and multiple-output up-line system and the reception signal of base station side；
    Matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains the matched filtering output of the reception signal With least mean-square error filtering matrix；
    According to the matched filtering output of the obtained reception signal and least mean-square error filtering matrix, construction sends signal Iteration；
    It is iterated according to the Iteration of the transmission signal of construction, until meet that default stopping criterion for iteration terminates iteration, Estimate of the value of currently available transmission signal as originally transmitted signal.
  2. 2. the signal detecting method of extensive multi-input multi-output system according to claim 1, it is characterised in that described Matched filtering is carried out to the channel matrix and reception signal of acquisition, obtains the matched filtering output and most of the reception signal Small mean square error filtering matrix includes：
    By matched filter, matched filtering is carried out to the channel matrix and reception signal of acquisition, described receive is obtained and believes Number matched filtering output yMF=HHY and least mean-square error filtering matrix W=G+N0IK；
    Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel matrix, (·)HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IKTable Show that K ties up unit matrix, K represents the number of the total transmitting antenna of user terminal.
  3. 3. the signal detecting method of extensive multi-input multi-output system according to claim 2, it is characterised in that described Gram matrixes G is expressed as：G=HHH；
    Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
  4. 4. the signal detecting method of extensive multi-input multi-output system according to claim 2, it is characterised in that described The Iteration for sending signal is expressed as：
    x(m)=Bx(m-1)+c
    <mrow> <mi>B</mi> <mo>=</mo> <msub> <mi>I</mi> <mi>K</mi> </msub> <mo>-</mo> <mfrac> <mi>k</mi> <mrow> <msub> <mi>w</mi> <mn>11</mn> </msub> <mo>+</mo> <msub> <mi>w</mi> <mn>22</mn> </msub> <mo>+</mo> <mo>...</mo> <mo>+</mo> <msub> <mi>w</mi> <mrow> <mi>K</mi> <mi>K</mi> </mrow> </msub> </mrow> </mfrac> <mi>W</mi> <mo>,</mo> <mi>c</mi> <mo>=</mo> <mfrac> <mi>k</mi> <mrow> <msub> <mi>w</mi> <mn>11</mn> </msub> <mo>+</mo> <msub> <mi>w</mi> <mn>22</mn> </msub> <mo>+</mo> <mo>...</mo> <mo>+</mo> <msub> <mi>w</mi> <mrow> <mi>K</mi> <mi>K</mi> </mrow> </msub> </mrow> </mfrac> <msup> <mi>y</mi> <mrow> <mi>M</mi> <mi>F</mi> </mrow> </msup> </mrow>
    Wherein, x represent user terminal originally transmitted signal, m represent the m time iteration, B represent Iterative Matrix, c expression iteration to Amount, k are the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
  5. 5. the signal detecting method of extensive multi-input multi-output system according to claim 1, it is characterised in that described It is iterated according to the Iteration of the transmission signal of construction, until meeting that default stopping criterion for iteration terminates iteration, currently The value of obtained transmission signal includes as the estimate of originally transmitted signal：
    It is iterated according to the Iteration of the transmission signal of construction, when current iteration number reaches default maximum iteration After L, terminate iteration, the value x of currently available transmission signal(L)For the estimate of originally transmitted signal.
  6. A kind of 6. signal supervisory instrument of extensive multi-input multi-output system, it is characterised in that including：
    Acquiring unit, for obtaining the channel matrix of extensive multiple-input and multiple-output up-line system and the reception letter of base station side Number；
    Matched filter, for carrying out matched filtering to the channel matrix and reception signal of acquisition, obtain described receive and believe Number matched filtering output and least mean-square error filtering matrix；
    Structural unit, the matched filtering output of the reception signal obtained for basis and least mean-square error filtering matrix, Construction sends the Iteration of signal；
    Determining unit, the Iteration for the transmission signal according to construction are iterated, until meeting default iteration ends Condition terminates iteration, estimate of the currently available value for sending signal as originally transmitted signal.
  7. 7. the signal supervisory instrument of extensive multi-input multi-output system according to claim 6, it is characterised in that described Matched filter, for carrying out matched filtering to the channel matrix and reception signal of acquisition, obtain the reception signal Matched filtering exports yMF=HHY and least mean-square error filtering matrix W=G+N0IK；
    Wherein, y represents the reception signal of base station side, yMFReception signal y matched filtering output is represented, H represents channel matrix, (·)HConjugate transposition is represented, W represents least mean-square error filtering matrix, and G represents Gram matrixes, N0Represent noise variance, IKTable Show that K ties up unit matrix, K represents the number of the total transmitting antenna of user terminal.
  8. 8. the signal supervisory instrument of extensive multi-input multi-output system according to claim 7, it is characterised in that described Gram matrixes G is expressed as：G=HHH；
    Wherein, H is N × K channel matrix, and N represents the number of base station side reception antenna.
  9. 9. the signal supervisory instrument of extensive multi-input multi-output system according to claim 7, it is characterised in that described The Iteration for sending signal is expressed as：
    x(m)=Bx(m-1)+c
    <mrow> <mi>B</mi> <mo>=</mo> <msub> <mi>I</mi> <mi>K</mi> </msub> <mo>-</mo> <mfrac> <mi>k</mi> <mrow> <msub> <mi>w</mi> <mn>11</mn> </msub> <mo>+</mo> <msub> <mi>w</mi> <mn>22</mn> </msub> <mo>+</mo> <mo>...</mo> <mo>+</mo> <msub> <mi>w</mi> <mrow> <mi>K</mi> <mi>K</mi> </mrow> </msub> </mrow> </mfrac> <mi>W</mi> <mo>,</mo> <mi>c</mi> <mo>=</mo> <mfrac> <mi>k</mi> <mrow> <msub> <mi>w</mi> <mn>11</mn> </msub> <mo>+</mo> <msub> <mi>w</mi> <mn>22</mn> </msub> <mo>+</mo> <mo>...</mo> <mo>+</mo> <msub> <mi>w</mi> <mrow> <mi>K</mi> <mi>K</mi> </mrow> </msub> </mrow> </mfrac> <msup> <mi>y</mi> <mrow> <mi>M</mi> <mi>F</mi> </mrow> </msup> </mrow>
    Wherein, x represent user terminal originally transmitted signal, m represent the m time iteration, B represent Iterative Matrix, c expression iteration to Amount, k are the Fast Convergent factor, wjjRepresent least mean-square error filtering matrix W diagonal element, j=1,2 ..., K.
  10. 10. the signal supervisory instrument of extensive multi-input multi-output system according to claim 6, it is characterised in that institute Determining unit is stated, is iterated specifically for the Iteration of the transmission signal according to construction, when current iteration number reaches pre- If maximum iteration L after, terminate iteration, the value x of currently available transmission signal(L)For the estimate of originally transmitted signal.
CN201710942261.9A 2017-10-11 2017-10-11 Signal detection method and device for large-scale multi-input multi-output system Active CN107733487B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710942261.9A CN107733487B (en) 2017-10-11 2017-10-11 Signal detection method and device for large-scale multi-input multi-output system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710942261.9A CN107733487B (en) 2017-10-11 2017-10-11 Signal detection method and device for large-scale multi-input multi-output system

Publications (2)

Publication Number Publication Date
CN107733487A true CN107733487A (en) 2018-02-23
CN107733487B CN107733487B (en) 2020-06-19

Family

ID=61210856

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710942261.9A Active CN107733487B (en) 2017-10-11 2017-10-11 Signal detection method and device for large-scale multi-input multi-output system

Country Status (1)

Country Link
CN (1) CN107733487B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113420411A (en) * 2021-05-25 2021-09-21 北京科技大学 High-resolution narrowband DOA estimation algorithm for wireless signals and implementation method
CN113489510A (en) * 2021-08-13 2021-10-08 北京科技大学 Large-scale MU-MIMO system DBP architecture signal detection method based on user grouping

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101582742A (en) * 2009-06-16 2009-11-18 北京邮电大学 Method for detecting iteration of multiple input multiple output (MIMO) system, system thereof and device thereof
US8331477B2 (en) * 2009-07-16 2012-12-11 Industrial Technology Research Institute Progressive parallel interference canceller and method and receiver thereof
CN105553614A (en) * 2015-12-14 2016-05-04 清华大学 Integration device based on signal detection algorithm
CN105933046A (en) * 2016-06-24 2016-09-07 北京科技大学 Massive multiple-input multiple-output system baseband and radio frequency hybrid pre-coding method
CN106850017A (en) * 2017-03-06 2017-06-13 东南大学 Extensive MIMO detection algorithms and hardware structure based on parallel GS iteration

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101582742A (en) * 2009-06-16 2009-11-18 北京邮电大学 Method for detecting iteration of multiple input multiple output (MIMO) system, system thereof and device thereof
US8331477B2 (en) * 2009-07-16 2012-12-11 Industrial Technology Research Institute Progressive parallel interference canceller and method and receiver thereof
CN105553614A (en) * 2015-12-14 2016-05-04 清华大学 Integration device based on signal detection algorithm
CN105933046A (en) * 2016-06-24 2016-09-07 北京科技大学 Massive multiple-input multiple-output system baseband and radio frequency hybrid pre-coding method
CN106850017A (en) * 2017-03-06 2017-06-13 东南大学 Extensive MIMO detection algorithms and hardware structure based on parallel GS iteration

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113420411A (en) * 2021-05-25 2021-09-21 北京科技大学 High-resolution narrowband DOA estimation algorithm for wireless signals and implementation method
CN113420411B (en) * 2021-05-25 2024-02-20 北京科技大学 High-resolution narrowband DOA estimation algorithm for wireless signals and implementation method
CN113489510A (en) * 2021-08-13 2021-10-08 北京科技大学 Large-scale MU-MIMO system DBP architecture signal detection method based on user grouping
CN113489510B (en) * 2021-08-13 2022-09-02 北京科技大学 Large-scale MU-MIMO system DBP architecture signal detection method based on user grouping

Also Published As

Publication number Publication date
CN107733487B (en) 2020-06-19

Similar Documents

Publication Publication Date Title
CN101170333B (en) Practical environment testing platform for distributed multi-input and multi-output radio communication system
CN104954056B (en) The hardware architecture and method of matrix inversion in extensive MIMO linearity tests
CN103929382B (en) Large scale decline method of estimation and the device of a kind of extensive mimo system
CN106130697B (en) Joint based on power distribution between Bayes estimation and data flow interferes phase alignment method
CN101345592B (en) Self-adapting signal detector and detection method used for MIMO
CN101895911B (en) Self-adaption transmission method utilizing channel statistical information in multi-base station cooperative transmission system
CN109743086A (en) A kind of channel estimation methods of extensive mimo system
CN113517941B (en) Simulation method and system for channel estimation and iterative detection of large-scale MIMO system
CN102347820A (en) Joint coding and decoding method of multi-cell cooperation wireless communication system
CN107733487A (en) A kind of signal detecting method and device of extensive multi-input multi-output system
CN106027184A (en) Link level to system level simulation interface method based on LTE-A
Zeng et al. Achieving energy-efficient massive URLLC over cell-free massive MIMO
CN103607234B (en) A kind of relaying merges method of reseptance and system
CN107094043A (en) MMSE method for detecting low complexity signal after improvement based on block iteration method
CN104994041B (en) Three-dimensional extensive Bo Dabo digression combined estimation method of the antenna system based on pilot tone
CN102035768A (en) Method and device for measuring carrier to interference and noise ratio
CN107276657B (en) Millimeter wave mixed beam forming method based on parallel algorithm
CN103490807A (en) MIMO system wireless receiving detection method based on FSD-MMSE
CN110912588A (en) Downlink time-varying channel prediction method based on improved Prony method
CN106357318B (en) The adjustable extensive MIMO iteration detection method of rate of convergence
CN107196686A (en) A kind of extensive mimo system signal detecting method with pretreatment operation
CN101252419A (en) Capacity evaluating method using channel statistical information in multi-aerial transmission system
CN104702325B (en) Virtual MIMO user&#39;s matching method based on MSE
CN101616427B (en) Multi-user MIMO test method between base stations
CN107809399A (en) A kind of multiple antennas millimeter wave channel estimation methods for quantifying reception signal

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
GR01 Patent grant