CN106209707A - A kind of Interference Cancellation detection method based on MMSE - Google Patents

A kind of Interference Cancellation detection method based on MMSE Download PDF

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CN106209707A
CN106209707A CN201610522018.7A CN201610522018A CN106209707A CN 106209707 A CN106209707 A CN 106209707A CN 201610522018 A CN201610522018 A CN 201610522018A CN 106209707 A CN106209707 A CN 106209707A
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vector
mmse
interference cancellation
detection
represent
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CN106209707B (en
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喻凤
周成
雷霞
肖丽霞
肖悦
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University of Electronic Science and Technology of China
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    • 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
    • H04L25/03178—Arrangements involving sequence estimation techniques
    • H04L25/03305—Joint sequence estimation and interference removal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/0048—Decoding adapted to other signal detection operation in conjunction with detection of multiuser or interfering signals, e.g. iteration between CDMA or MIMO detector and FEC decoder

Abstract

The invention belongs to Communication Anti-Jamming Techniques field, relate to extensive MIMO (Multiple Input Multiple Output) technology, MMSE (Minimum Mean Square Error) detection technique, threshold judgement technology.The inventive method is using MMSE testing result as initial vector, if the likelihood cost value of initial vector is beyond threshold value, just carries out Interference Cancellation, no person's detection of end, and exports initial vector.In each Interference Cancellation, only balancing out several symbols maximum with the difference of modulation constellation points distance in detection vector, the inventive method effectively achieves low complex degree and the requirement of high BER performance.

Description

A kind of Interference Cancellation detection method based on MMSE
Technical field
The invention belongs to Communication Anti-Jamming Techniques field, relate to extensive MIMO (Multiple Input Multiple Output) technology, MMSE (Minimum Mean Square Error) detection technique, threshold judgement technology.
Background technology
Extensive MIMO technology is the high speed transmission technology under a kind of wireless environment, and it configures more at transmitting terminal and receiving terminal Many antenna elements, and combine the Space Time Coding modulation scheme of advanced person, by spatial degrees of freedom is made full use of, can bring Extra diversity, multiplexing and beam forming gain.
In extensive mimo system, maximum likelihood (Maximum Likelihood, ML) detection algorithm performance is best, but with The increase of number of antennas and order of modulation, the complexity of ML detection increases the most again.MMSE linear detection algorithm has line The complexity of property, but BER poor-performing.Sequence stepwise derivation based on MMSE equilibrium offsets (Ordered Successive Interference Canceling, OSIC) the BER performance of detection algorithm is better than MMSE detection, but bit error rate (Bit Error Rate, BER) performance is the most poor.Reaction TABU search (Reactive Tabu Search, RTS) algorithm has closely The detection performance of maximum likelihood and relatively low complexity.Excitation mixing Gibbs based on Markov Monte Carlo technique Sampling (Motivation for Mixed Gibbs Sampling, MGS) detection algorithm has the detection performance more excellent than RTS Lower complexity, but the complexity of MGS detection algorithm is the highest.
Summary of the invention
The low complex degree faced for detection algorithm in extensive mimo system and the challenge of high detection performance, the present invention carries Go out a kind of Interference Cancellation detection method based on MMSE.
The technical scheme is that: a kind of Interference Cancellation detection algorithm based on MMSE in extensive mimo system, its It is characterised by, using MMSE testing result as initial vector, if the likelihood cost value of initial vector is beyond threshold value, just entering Row Interference Cancellation, no person's detection of end, and export initial vector.In each Interference Cancellation, only balance out detection vector in Several symbols that the difference of modulation constellation points distance is maximum.
A kind of Interference Cancellation detection method based on MMSE, specifically comprises the following steps that
S1, initialization process, particularly as follows:
In S11, extensive mimo system, the number of transmission antenna is Nt, the number N of reception antennar, transmission signal vector It is expressed asReceived signal vectorFor Y=HX+n, wherein,Represent channel matrix, matrix H each Element be all average be 0 variance be the multiple Gaussian random variable of 1,Represent additive white Gaussian noise vector, each unit of n Element be all average be that 0 variance isMultiple Gaussian random variable；
S12, predetermined threshold value Vth；
S2, detection process, particularly as follows: calculate the testing result of MMSE detection algorithmIf | | Y- HXmmse||2＜ Vth, Xout=Xmmse, then output detections result Xout, detection of end, if | | Y-HXmmse||2＞ Vth, then by Xmmse As initial vector X0=Xmmse, Y0=Y proceeds to S3 and carries out Interference Cancellation；
S3, m, (m=0,1 ..., N-1) in secondary Interference Cancellation, remaining vector isWherein, Nm=Nt- Am, vectorRepresent vector XmIn transmitting antenna serial number corresponding to each symbol, calculate vector XmIn each symbol and constellation Distance d of symboli,n=| xm,n-si|, i=1,2,3,4, n=1,2 ..., Nm, xm,nRepresent vector XmNth symbol, for Arbitrarily n, calculates Dn=di,n,max-di,n,min, wherein, di,n,maxAnd di,n,minRepresent d respectivelyi,n, the maximum of i=1,2,3,4 and Minima, finds Dn, (n=1,2 ..., NmThe position n that a number maximum in) is correspondingi, i=1,2 ..., a, thenWherein, A (ni) represent the n-th of vector AiIndividual element, Xout(A(ni)) represent vector XoutIn A (ni) Individual element；
S4, calculating balance out XmMiddle position niResult after the interference of upper elementWeed out Xm Middle ni, i=1,2 ..., the element on a position obtains vectorWherein, vectorRepresent the in channel matrix H A(ni) row；
After S5, n times Interference Cancellation terminate, output detections result Xout, detection of end, wherein, described N is by S12 pre-determined threshold Threshold value Vth determines.
Further, described in S12Wherein, Interference Cancellation times N=Nt/ a, a are the symbolic number of interference.
Further, Vth=N described in S12rσ2。
The invention has the beneficial effects as follows:
The present invention proposes a kind of Interference Cancellation detection algorithm based on MMSE in extensive mimo system.This detection algorithm In conjunction with MMSE detection and threshold judgement, by balancing out the interference of nearest some symbols relative with constellation point, effectively achieve Low complex degree and the requirement of high BER performance.
Accompanying drawing explanation
Fig. 1 is extensive mimo system block diagram.
Fig. 2 is the extensive mimo system block diagram of the detection method that the present invention proposes.
Fig. 3 is N in mimo systemt=16, Nr=32, the detection Performance comparision of five kinds of detection algorithms when using QPSK modulation.
Fig. 4 is N in mimo systemt=16, Nr=64, the detection Performance comparision of five kinds of detection algorithms when using QPSK modulation.
Fig. 5 is the computation complexity comparison diagram that in mimo system, different antennae configures lower five kinds of detection algorithms.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the present invention is described in further detail.
For preferably the present invention will be described, first introduce the term used in technical solution of the present invention and extensive MIMO System receiver structure.
Extensive mimo system: if Fig. 1, b are the Bit datas needing transmission, the matrix of a L × T can be considered, Wherein L=log2 (4) is the amount of bits entrained by a QPSK symbol.Fig. 2, gives a NtRoot launches antenna and NrRoot connects Receive antenna, utilize the present invention to carry out the example of signal detection.
Specific embodiments of the present invention system diagram as shown in Figure 2.
Receiver structure is roughly divided into following a few step:
Step 1: determine the parameter of system to be selected, i.e. determines transmitting antenna number Nt, reception antenna number Nr, modulation Mode.
Step 2: do MMSE detection, if the vectorial maximum likelihood cost value that MMSE detects is in thresholding, just terminates Detection, exports the result of this MMSE detection.Otherwise enter Interference Cancellation process, after Interference Cancellation terminates, export final detection Result.
A kind of Interference Cancellation detection method based on MMSE, specifically comprises the following steps that
S1, initialization process, particularly as follows:
In S11, extensive mimo system, the number of transmission antenna is Nt, the number N of reception antennar, transmission signal vector It is expressed asReceived signal vectorFor Y=HX+n, wherein,Represent channel matrix, matrix H each Element be all average be 0 variance be the multiple Gaussian random variable of 1,Represent additive white Gaussian noise vector, each unit of n Element be all average be that 0 variance isMultiple Gaussian random variable；
S12, predetermined threshold value Vth, describedOr Vth=Nrσ2, wherein, Interference Cancellation times N=Nt/ a, a Symbolic number for interference.Thresholding Vth value is the biggest, and computational complexity can be the lowest, but performance can be the poorest.Thresholding Vth value is the least, computing Complexity can be the highest, but performance can be the best.Represent final output vector.
S2, detection process, particularly as follows: calculate the testing result of MMSE detection algorithmIf | | Y- HXmmse||2＜ Vth, Xout=Xmmse, then output detections result Xout, detection of end, if | | Y-HXmmse||2＞ Vth, then by Xmmse As initial vector X0=Xmmse, Y0=Y proceeds to S3 and carries out Interference Cancellation；
S3, m, (m=0,1 ..., N-1) in secondary Interference Cancellation, remaining vector isWherein, Nm=Nt- Am, vectorRepresent vector XmIn transmitting antenna serial number corresponding to each symbol, with QPSK (Quadrature Phase Shift Keying, QPSK) modulation as a example by, the constellation symbol of QPSK is { s1,s2,s3,s4}.Calculate vector XmIn each Symbol and distance d of constellation symboli,n=| xm,n-si|, i=1,2,3,4, n=1,2 ..., Nm, xm,nRepresent vector XmN-th Symbol, for any n, calculates Dn=di,n,max-di,n,min, wherein, di,n,maxAnd di,n,minRepresent d respectivelyi,n, i=1,2,3,4 Maximum and minima, find Dn, (n=1,2 ..., NmThe position n that a number maximum in) is correspondingi, i=1,2 ..., a, thenWherein, A (ni) represent the n-th of vector AiIndividual element, Xout(A(ni)) represent vector XoutIn A (ni) Individual element；Due to XmMiddle position niOn element to the distance of certain constellation point on planisphere much larger than apart from other constellation point Position, it is taken as that the element on these positions is reliable at present, can be as final testing result.
S4, calculating balance out XmMiddle position niResult after the interference of upper elementWeed out Xm Middle ni, i=1,2 ..., the element on a position obtains vectorWherein, vectorRepresent the in channel matrix H A(ni) row；
After S5, n times Interference Cancellation terminate, output detections result Xout, detection of end, wherein, described N is by S12 pre-determined threshold Threshold value Vth determines.
Fig. 3 and Fig. 4 sets forth mimo system at Nt=16, Nr=32 and Nt=16, NrUnder=64 two kinds of antenna configurations When using QPSK modulation, the BER of the detection algorithm that MMSE algorithm, OSIC algorithm, RTS algorithm, MGS algorithm propose with the present invention Can compare.From figure 3, it can be seen that Nt=16, Nr=32, when using QPSK modulation, the BER of the detection algorithm that the present invention proposes Can 0.5dB poorer than MGS algorithm, 0.3dB poorer than RTS algorithm.Result in Fig. 4 shows, Nt=16, Nr=64, use QPSK modulation Time, the BER performance 0.3dB poorer than MGS algorithm, 0.3dB poorer than RTS algorithm of the detection algorithm that the present invention proposes.Fig. 5 gives State the complexity of these five kinds of detection algorithms under two kinds of antenna configurations to compare.From fig. 5, it can be seen that in above two antenna configurations Under, the complexity of MGS algorithm is about 7 times of the algorithm complex that the present invention proposes, and the complexity of RTS algorithm is then the present invention More than 8 times of the algorithm complex proposed.
Visible, the BER performance of the detection algorithm that the present invention proposes is more lower slightly than the BER performance of MGS algorithm, but has relatively Low computation complexity.

Claims (3)

1. an Interference Cancellation detection method based on MMSE, it is characterised in that specifically comprise the following steps that
S1, initialization process, particularly as follows:
In S11, extensive mimo system, the number of transmission antenna is Nt, the number N of reception antennar, transmission signal vector represents ForReceived signal vectorFor Y=HX+n, wherein,Represent channel matrix, each element of matrix H Be all average be 0 variance be the multiple Gaussian random variable of 1,Represent additive white Gaussian noise vector, each element of n Be average be that 0 variance isMultiple Gaussian random variable；
S12, predetermined threshold value Vth；
S2, detection process, particularly as follows: calculate the testing result of MMSE detection algorithmIf | | Y-HXmmse| |2＜ Vth, Xout=Xmmse, then output detections result Xout, detection of end, if | | Y-HXmmse||2＞ Vth, then by XmmseAs just Begin vector X0=Xmmse, Y0=Y proceeds to S3 and carries out Interference Cancellation；
S3, m, (m=0,1 ..., N-1) in secondary Interference Cancellation, remaining vector isWherein, Nm=Nt-am, to AmountRepresent vector XmIn transmitting antenna serial number corresponding to each symbol, calculate vector XmIn each symbol and constellation symbol Distance di,n=| xm,n-si|, i=1,2,3,4, n=1,2 ..., Nm, xm,nRepresent vector XmNth symbol, for arbitrarily N, calculates Dn=di,n,max-di,n,min, wherein, di,n,maxAnd di,n,minRepresent d respectivelyi,n, the maximum of i=1,2,3,4 and minimum Value, finds Dn, (n=1,2 ..., NmThe position n that a number maximum in) is correspondingi, i=1,2 ..., a, then Wherein, A (ni) represent the n-th of vector AiIndividual element, Xout(A(ni)) represent vector XoutIn A (ni) individual element；
S4, calculating balance out XmMiddle position niResult after the interference of upper elementWeed out XmMiddle ni,i =1,2 ..., the element on a position obtains vectorWherein, vectorRepresent the A (n in channel matrix Hi) Row；
After S5, n times Interference Cancellation terminate, output detections result Xout, detection of end, wherein, described N is by S12 pre-determined threshold thresholding Value Vth determines.
A kind of Interference Cancellation detection method based on MMSE the most according to claim 1, it is characterised in that: described in S12Wherein, Interference Cancellation times N=Nt/ a, a are the symbolic number of interference.
A kind of Interference Cancellation detection method based on MMSE the most according to claim 1, it is characterised in that: Vth described in S12 =Nrσ2。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114389756A (en) * 2022-01-20 2022-04-22 东南大学 Uplink MIMO detection method based on grouping ML detection and parallel iteration interference cancellation

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101277279A (en) * 2007-03-30 2008-10-01 中兴通讯股份有限公司 Method and apparatus for eliminating serial interference of multi-aerial system
CN103929386A (en) * 2014-04-29 2014-07-16 电子科技大学 Wireless interference elimination method
CN105049104A (en) * 2015-06-25 2015-11-11 电子科技大学 4QAM modulation novel matched filtering detection method in large-scale MIMO system
CN105704073A (en) * 2014-11-28 2016-06-22 联芯科技有限公司 Interference elimination method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101277279A (en) * 2007-03-30 2008-10-01 中兴通讯股份有限公司 Method and apparatus for eliminating serial interference of multi-aerial system
CN103929386A (en) * 2014-04-29 2014-07-16 电子科技大学 Wireless interference elimination method
CN105704073A (en) * 2014-11-28 2016-06-22 联芯科技有限公司 Interference elimination method and device
CN105049104A (en) * 2015-06-25 2015-11-11 电子科技大学 4QAM modulation novel matched filtering detection method in large-scale MIMO system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
DATTA T,ET AL.: "A Novel MCMC Algorithm for Near-Optimal Detection in Large-Scale Uplink Multiuser MIMO Systems", 《INFORMATION THEORY AND APPLICATIONS WORKSHOP》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114389756A (en) * 2022-01-20 2022-04-22 东南大学 Uplink MIMO detection method based on grouping ML detection and parallel iteration interference cancellation
CN114389756B (en) * 2022-01-20 2024-04-09 东南大学 Uplink MIMO detection method based on packet ML detection and parallel iterative interference cancellation

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