[1]WANG Zhao-wei,XIAO Yang,LIU Xiang-qian.Application of particle swarm optimization in MIMO CDMA flat fading channel equalizers[J].CAAI Transactions on Intelligent Systems,2008,3(1):38-42.
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Application of particle swarm optimization in MIMO CDMA flat fading channel equalizers

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 1 Page number: 38-42 Column: 学术论文—智能系统 Public date: 2008-02-25
Title:
Application of particle swarm optimization in MIMO CDMA flat fading channel equalizers
Author(s):
WANG Zhao-wei;  XIAO Yang;  LIU Xiang-qian
Institute of Information Science, Beijing Jiaotong University, Beijing 100044,China
Keywords:
CDMA; channel equalizer; MIMO flat fading channel; PSO; reference sig nals
CLC:
TN911.5；TP18
DOI:
-
Abstract:
Particle swarm optimization (PSO) algorithms are efficient in stochast ic global optimization. PSO algorithms use a particle population to search for t he solution space, in which each particle represents a solution to the problem t o be optimized, and finds optimal regions in complex searching spaces through th e interaction of individuals in the population. The MIMO scheme can multiply the channel capacity of wireless communication several times without increased band width, but the complex channels produce intersymbol interference (ISI) in receiv ed signals. We studied a PSO MIMO channel equalizer in an MIMO CDMA system that is not sensitive to the coherency of channels, flat fading, or noise. Simulation s show that the biterror rate (BER) performance of the proposed PSO MIMO cha n nel equalizer is better than that of conventional adaptive equalizers, converges faster than GAbased equalizers, and is easier to implement.
References:
［1］KENNEDY J, EBERHART R C. Particle swarm optimization ［C］ // Proce edi ngs of the 1995 IEEE International Conference on Networks. Perth,Australia , 1995.
［2］KRUSIENSKI D J，JENKINS W K. Adaptive filtering via particle swarm optimiz ation［C］// Proc 37th Asilomar Conf on Signals, Systems, and Computers. Monterey, Canada, 2003.
［3］刘 成，肖 扬.粒子群优化算法在多用户检测中的应用［J］.中国铁道科学，2006，27(4)：129132.
 LIU Cheng, XIAO Yang. Particle swarm optimization in multiuser detection［J］. C hina Railway Science, 2006,27(4): 129132.
［4］GUO Z Q, XIAO Y. MIMO system multiuser detection based on particle s warm optimization algorithm［C］// Proc 2006 8th International Conference on Sig nal Processing.Guilin, 2006.
［5］TELATAR I E. Capacity of multiantenna Gaussian channels［J］. Euro pean Trans on Telecomm, 1999, 10 (6): 585595.
［6］FOCHINI G J, GANS M J. On limits of wireless communications in a fa ding environment when using multiple antennas［J］. Wireless Personal Communicat ions, 1998, 6 (3): 311335.
［7］CHEN W, XIAO Y，ZHAO Y. The algorithm implement of WCDMA channel estimatio n［C］// 7th International Conference on Signal Processing Proceedings. Be ij ing，2004.
［8］XIAO Y，LEE M H. MIMO multiuser detection for CDMA systems［C］// 2006 8th International Conference on Signal Processing. Guilin, 2006.
［9］SHIU D S, FOSCHINI G J, GANS M J. Fading correlation and its effect on the capacity of multielement antenna systems［J］.IEEE Trans Commun, 2000, 48(3) ： 502513.
［10］CHOI R L, LETAIEF K B，MURCH R D. MIMO CDMA antenna systems［C］// 2000 IEEE International Conference on Communications(ICC 2000). New Orlea n s，USA, 2000.
［11］XIAO Y, LEE M H. Low complexity MIMOLDPC CDMA systems over multipath ch annels［J］. IEICE Transactions on Communications, 2006, E89B(5): 17131717. 
［12］ZHENG K，WANG W B. Analysis and optimization of pilotchanne lassisted Q PSK for DSCDMA systems［J］. IEEE Transactions on Communications,1998,46(9): 11221124.
［13］SHI Y，EBERHART R C. A modified particle swarm optimizer ［C］// Pr oceedi ngs of the 1998 IEEE World Congress on Computational Intelligence. Alaska，U SA,1998.
［14］肖 扬，宋明艳. 变频长自适应数字滤波器的稳定条件［J］.通信学报，200 1，22(10):8892.
 XIAO Yang, SONG Mingyan. Stability conditions of variable stepsize adaptive di gital filter［J］. Journal on Communications, 2001, 22(10): 8892
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