A Filtering Strategy for Noisy and Distorted Chaotic Signals--Ⅰ: Blind Channel Equalization
一种噪声和畸变混沌信号的滤波策略--Ⅰ：盲信道均衡

Various interference from wireless communication channel seriously impairs the real realization of the sys- tems having been proposed chaos-based communication systems.This paper addresses a new filtering algorithm by com- bining nonlinear filtering and neuron processing unit,which can solve the estimation issues of the state space model.Af- ter transferring the blind channel equalization of chaos-based communication systems going through fading communica- tion scenario into the extended state space model,we realize the blind channel equalization of the communication sys- tems by using the new algorithm.In comparison with the standard least mean square (LMS) algorithm,the new algo- rithm is of the faster convergence speed and the better equalization performance.