An adaptive density model based PAM blind equalization scheme

Chen Wang, Shenghua Huang, Xuchu Dai, Peixia Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Pages541-544
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005 - Wuhan, China
Duration: Sep 23 2005Sep 26 2005

Publication series

NameProceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Volume1

Other

Other2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
CountryChina
CityWuhan
Period9/23/059/26/05

Keywords

  • BE
  • BSS
  • Density
  • PAM

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Wang, C., Huang, S., Dai, X., & Xu, P. (2005). An adaptive density model based PAM blind equalization scheme. In Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005 (pp. 541-544). [1544101] (Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005; Vol. 1). https://doi.org/10.1109/WCNM.2005.1544101