Blind nonlinear channel identification based on higher order statistics using hybrid genetic algorithm
Shusuke Narieda, Yen‐Wei Chen, K. Yamashita · 2002
A method with 4th-order cumulant is proposed for nonlinear channel identification. Compared with the conventional method which uses 3rd-order cumulant, the proposed method does not need to use any constraints. Since the cost function with higher order statistics has local minima, we also propose to use a hybrid genetic algorithm (GA) to minimize the cost function. The applicability of the proposed method is demonstrated by computer simulations.