Blind adaptive channel identification/equalization in chaotic communications by using nonlinear prediction technique

Bao Yun Wang, Wei Xing Zheng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

In this paper, an adaptive blind equalization algorithm is proposed to recover the chaos-modulated signal, which is transmitted through an FIR channel instead of the ideal channel assumed by the chaotic synchronization based approach. The short-term predictability of a chaotic signal is exploited to formulate the criterion and derive the proposed algorithm. Compared with the EKF-based approach, the proposed algorithm achieves a great complexity gain and retains the good estimation accuracy. In addition, our algorithm is applicable to ARMA systems.

Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings, ICSP
Pages370-373
Number of pages4
Publication statusPublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, China
Duration: 31 Aug 20044 Sept 2004

Publication series

Name2004 7th International Conference on Signal Processing Proceedings, ICSP

Conference

Conference2004 7th International Conference on Signal Processing Proceedings, ICSP
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

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