An adaptive Density Model based PAM Blind Equalization Scheme
BE (Blind Equalization) algorithms based on BSS (Blind Signal Separation) are investigated by several authors 1,3,5,6, but few of them fully explored the underlying constellation information which is the most distinct character differing BE from general BSS problem. In this paper, the problem of on-line PAM blind equalization via BSS is investigated, and an adaptive density modeling, based on recursive kurtosis estimation, is proposed. Our approach could greatly improve not only the convergence speed but also the equalization performance, compared to the counterpart which not considering the underlying constellation. Simulation results demonstrate its feasibilities and superiority both in stationary and non-stationary case.
BE BSS PAM density
Chen Wang Shenghua Huang Xuchu Dai Peixia Xu
Dept.of EELS.Univ.of Sci.& Tech.of China, Hefei, Anhui, 230027, P.R.China
国际会议
武汉
英文
541-544
2005-09-23（万方平台首次上网日期，不代表论文的发表时间）