An adaptive density model based PAM blind equalization scheme

Author

Wang, Chen ; Huang, Shenghua ; Dai, Xuchu ; Xu, Peixia

Author_Institution

Dept. of Electr. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China

Volume

1

fYear

2005

fDate

23-26 Sept. 2005

Firstpage

541

Lastpage

544

Abstract

BE (blind equalization) algorithms based on BSS (blind signal separation) are investigated by several authors [I. Jang et al., 2002, YH. Hua, 1998, X. Zhuang, M. Enescu, 2002], 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.

Keywords

blind equalisers; blind source separation; pulse amplitude modulation; recursive estimation; adaptive density model; blind signal separation; constellation information; online PAM blind equalization; recursive kurtosis estimation; Adaptive equalizers; Additive noise; Blind equalizers; Blind source separation; Constellation diagram; Convergence; Intersymbol interference; Recursive estimation; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on

Print_ISBN

0-7803-9335-X

Type

conf

DOI

10.1109/WCNM.2005.1544101

Filename

1544101