An adaptive density model based PAM blind equalization scheme

Chen Wang; Shenghua Huang; Xuchu Dai; Peixia Xu

doi:10.1109/WCNM.2005.1544101

An adaptive density model based PAM blind equalization scheme

Chen Wang, Shenghua Huang, Xuchu Dai, Peixia Xu

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Pages	541-544
Number of pages	4
DOIs	https://doi.org/10.1109/WCNM.2005.1544101
State	Published - Dec 1 2005
Event	2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005 - Wuhan, China Duration: Sep 23 2005 → Sep 26 2005

Publication series

Name	Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Volume	1

Other

Other	2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005
Country/Territory	China
City	Wuhan
Period	9/23/05 → 9/26/05

Keywords

BE
BSS
Density
PAM

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/WCNM.2005.1544101

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). Article 1544101 (Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005; Vol. 1). https://doi.org/10.1109/WCNM.2005.1544101

An adaptive density model based PAM blind equalization scheme. / Wang, Chen; Huang, Shenghua; Dai, Xuchu et al.
Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005. 2005. p. 541-544 1544101 (Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 1544101, Proceedings - 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005, vol. 1, pp. 541-544, 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005, Wuhan, China, 9/23/05. https://doi.org/10.1109/WCNM.2005.1544101

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

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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.",

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N2 - 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.

AB - 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.

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An adaptive density model based PAM blind equalization scheme

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Keywords

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