Robust Blind Adaptive Channel Equalization in Chaotic Communication Systems
ZHANG Jia-Shu
Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031
Robust Blind Adaptive Channel Equalization in Chaotic Communication Systems
ZHANG Jia-Shu
Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031
关键词 ：
05.45.-a
Abstract ： Based on the bounded property and statistics of chaotic signal and the idea of set-membership identification, we propose a set-membership generalized least mean square (SM-GLMS) algorithm with variable step size for blind adaptive channel equalization in chaotic communication systems. The steady state performance of the proposed SM-GLMS algorithm is analysed, and comparison with an extended Kalman filter (EKF)-based adaptive algorithm and variable gain least mean square (VG-LMS) algorithm is performed for blind adaptive channel equalization. Simulations show that the proposed SM-GLMS algorithm can provide more significant steady state performance improvement than the EKF-based adaptive algorithm and VG-LMS algorithm.
Key words ：
05.45.-a
出版日期: 2006-12-01
:
05.45.-a
(Nonlinear dynamics and chaos)
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2006, Vol. 23 
