Blind Identification of FIR SIMO Channels Using An Improved Particle Swarm Optimizer

摘要：

The blind multi-channels identification problem isstudied in this paper.A cost function based on theorthogonal property between the output autocorrelationmatrix and the channels parameter matrix is firstconstructed for a signal-input multiple-output FIRsystem.Then,an improved particle swarm optimizer,inwhich the personal best particle is replaced with theweight average of personal best particles in swarm andthe acceleration coefficients is adaptively adjusted isproposed to resolve the problem.Simulation resultsdemonstrate that the improved particle swarmoptimizer has good convergence performance,and iseffective to resolve the blind FIR SIMO channelsidentification problem

作者: Ying Gao Miao Liu Xiao Hu Huailiang Liu

作者单位: Department of Computer Science and Technology Guangzhou University Guangzhou,510006,P.R.China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 668-672

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）