Particle Swarm Optimization for MIMO Receivers

摘要：

MIMO receivers need to have good knowledge about channel. To get good channel estimation needs to good pilot sequences and good channel estimator. The good pilot sequences can ensure the channel estimator converge the channel parameters by short length of pilot sequences, while good channel estimator can employ fewer iteration to estimate channel parameters. To reach the first goal, this paper proposes a design of pilot sequences for MIMO channels, only with ML training symbols; to reach the second goal, this paper proposes a PSO channel estimation algorithm. Different from the known PSO algorithms, in the proposed PSO estimator algorithm, the ‘particle positions’ are virtual, they represent the MIMO weights matrices, and the ‘particle velocity’ is also virtual, it represent the updating increment of MIMO weights matrices, which simplifies the PSO algorithm’s implementation. In the iteration of the estimator, the proposed PSO algorithm finds desired MIMO weights matrix through the interaction of individuals in a population of weights matrices. Simulations show that the BER performance of the proposed PSO MIMO equalizer is better than those of conventional adaptive equalizers.

关键词： Channel Receiver MIMO Flat Fading Channel,Particle Swarm Optimization Pilot Symbols

作者: Yang Xiao Nan Zhang Zhao-wei Wang Kiseon Kim

作者单位: Institute of Information Science,Beijing Jiaotong University Beijing 100044,China Dept.of Information and Communications,Gwangju Institute of Science and Technology Gwangju 500-712,K

会议类型: 国际会议

会议名称: The IET 2nd International Conference on Wireless,Mobile & Multimedia Networks(第二届IET国际无线移动多媒体网络会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）