计算机科学 ›› 2023, Vol. 50 ›› Issue (11): 327-332.doi: 10.11896/jsjkx.220900103
邹鑫, 张顺外
ZOU Xin, ZHANG Shunwai
摘要： 对于多用户大规模空间调制多输入多输出(Spatial Modulation Multiple Input Multiple Output,SM-MIMO)系统,消息传递检测(Message Passing Detection,MPD)是常用的检测算法,但其复杂度较高。针对该问题,引入基于分层消息传递机制的分层MPD(Layered MPD,LMPD)算法以加快算法收敛速度,降低算法复杂度。进一步,将低密度奇偶校验码(Low-density Parity-check,LDPC)与SM-MIMO系统相结合,提出联合LMPD-BP(Joint LMPD Belief Propagation,JLMPD-BP)算法,LMPD算法可利用BP算法反馈的概率信息,提升系统检测性能。理论分析与仿真结果表明:与传统MPD算法相比,LMPD算法在不损失误码率性能的前提下可加快算法收敛速度,当信噪比(Signal-to-Noise Ratio,SNR)为4 dB时,MPD算法需3次迭代才能达到收敛,而LMPD算法仅需2次迭代即可收敛;同时,通过与LDPC码结合,JLMPD-BP算法极大地降低了系统误码率,如在迭代次数为(2,2,2)、SNR=2 dB时,与迭代次数为(4,4,0)的LMPD-BP算法相比,JLMPD-BP算法的误码率由10－2降至5×10－3。
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| [1]YU X,HU Y,GUI G,et al.Performance Analysis of UplinkMassive Multiuser SM-MIMO System With Imperfect Channel State Information[J].IEEE Transactions on Communications,2020,68(10):6200-6214. [2]LI Q,YU X,XIE M,et al.Performance analysis of uplink massive spatial modulation MIMO systems in transmit-correlated Rayleigh channels[J].China Communications,2021,18(2):27-39. [3]MAO T,WANG Q,WANG Z.Spatial modulation for terahertz communication systems with hardware impairments[J].IEEE Transactions on Vehicular Technology,2020,69(4):4553-4557. [4]GOUDELI E,PSOMAS C,KRIKIDIS I.Spatial-modulation-based techniques for backscatter communication systems[J].IEEE Internet of Things Journal,2020,7(10):10623-10634. [5]SERAFIMOCSKIL N,SINANOVIC S,DI RENZO M,et al.Multiple access spatial modulation[J].EURASIP Journal on Wireless Communication and Networking,2012,2012(1):1-20. [6]JEGANATHAN J,GHRAVEB A,SZCZECINSKI L.Spatialmodulation:Optimal detection and performance analysis[J].IEEE Communications Letters,2008,12(8):545-547. [7]ZHENG J.Low-complexity detector for spatial modulation multiple access channels with a large number of receive antennas[J].IEEE Communications Letters,2014,18(11):2055-2058. [8]NARASIMHAN T L,RAVITEJA P,CHOCKALINGAM A.Large-scale multi-user SM-MIMO versus massive MIMO[C]//2014 IEEE Information Theory and Applications Workshop(ITA).San Diego,CA,USA,2014:1-9. [9]GALLAGER R.Low-density parity-check codes[J].IRE Tran-sactions on Information Theory,1962,8(1):21-28. [10]ZHANG S W.LDPC-Coded Cooperation:Performance Studiesand Codes Design[D].Nanjing:Nanjing University of Aeronautics and Astronautic,2013. [11]ZHANG Y,PENG K,CHEN Z,et al.Construction of rate-compatible raptor-like quasi-cyclic LDPC code with edge classification for IDMA based random access[J].IEEE Access,2019,7:30818-30830. [12]GHAFFARI F,LE K.An Enhanced Check-Node Architecture for 5G New Radio LDPC Decoders[C]//2021 28th IEEE International Conference on Electronics,Circuits,and Systems (ICECS).IEEE,1-6. [13]CHEN J,FOSSORIER M P C.Near optimum universal belief propagation based decoding of low-density parity check codes[J].IEEE Transactions on Communications,2002,50(3):406-414. [14]JING S,YANG J,ZHOU H,et al.Layered graph-merged detection and decoding of non-binary LDPC coded massive MIMO systems[C]//2017 51st Asilomar Conference on Signals,Systems,and Computers.IEEE,2017:1084-1088. [15]JING S,YANG J,WANG Z,et al.Algorithm and architecture for joint detection and decoding for MIMO with LDPC codes[C]//2017 IEEE International Symposium on Circuits and Systems (ISCAS).IEEE,2017:1-4. [16]NARASIMHAN T L,CHOCKALINGAM A,RAJAN B S.Factor graph based joint detection/decoding for LDPC coded large-MIMO systems[C]//2012 IEEE 75th Vehicular Technology Conference(VTC Spring).IEEE,2012:1-5. [17]NARASIMHAN T L,CHOCKALINGAM A.Detection and decoding in large-scale MIMO systems:A non-binary belief propagation approach[C]//2014 IEEE 79th Vehicular Technology Conference(VTC Spring).IEEE,2014:1-5. [18]HOCEVAR D E.A reduced complexity decoder architecture vialayered decoding of LDPC codes[C]//IEEE Workshop on Signal Processing Systems,2004.IEEE,2004:107-112. |
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