Blind MIMO Channel Identification Using Particle Swarm Algorithm

摘要：

Blind Channel Identification is the problem of estimating the channel impulse response function given only by the measurements of the system output. In this paper, firstly, we maximized the cost function to construct the relationship between the inverse equalizer output and the input sequences, and then we used particle swarm algorithm to get the parameters and iteratively extract the MIMO (multiple-input multiple-output) system channel impulse response function .Computer simulation examples illustrate that the proposed algorithm can achieve higher performance when using less output samples to estimate the function parameters; even when we used lots of output samples ,the proposed algorithm also can get better performance than the subspace algorithm and the inverse filter algorithm.

关键词： MIMO blind identification particle swarm algorithm

作者: Song Tao Xu Jiadong Zhang Kai

作者单位: Department of Electronic Engineering Northwestern Polytechnical University Xian 710072, China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）