Particle Filtering for Blind Equalization with Unknown Noise Variance

摘要：

A particle filtering equalization algorithm with unknown noise variance is presented based on the optical particle sampling using the optical importance function. The optical importance function with unknown noise variance is deduced by analytically integrating out the noise variance as a nuisance parameter. And the posterior distribution of noise variance is derived recursively based on its prior distribution. Moreover, the optical particle sampling using the optical importance function is introduced to alleviate the degeneracy phenomenon so that a re-sampling step is avoided in the method. Numerical simulations show that the degeneracy problem of the proposed algorithm is alleviated greatly, and the proposed algorithm attains an approximate performance to the one with known noise variance.

关键词： Blind equalization Particle filter Posterior probability Optical importance function Optical particle sampling

作者: Yuan CHEN Song-yin DAI Yuan-qin WANG

作者单位: TT&C Research Center,Academy of Equipment Command & Technology Beijing.China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 59-63

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）