The Blind Equalization Method Based on Particle Filter Theory

摘要：

In this paper,particle filter theory and its Application in blind equalization are presented. The basic idea of particle filter is the recursive computation of relevant probability distributions using discrete random measures composed of the particles and its weights. Compared with the other methods for equalization,the advantage of particle filtering is in that exploited approximation doesnt involve linearization around current estimates but rather approximations in the representation of the desired distribution by discreet random measures. The simulation shows that the algorithm is feasible even under the conditions of lower signal-to-noise ratio.

关键词： blind equalization Particle filter Importance sampling

作者: WANG Lei YANG Jie AO Wei BAI Xi CHEN Lei

作者单位: Chongqing Communication College Chongqing,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 191-194

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）