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Blind nonlinear channel identification based on constrained hybrid genetic algorithm

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3 Author(s)
Yen-wei Chen ; Dept. of Electr. Eng., Ryukyus Univ., Okinawa, Japan ; Narieda, S. ; Yamashita, K.

A method with higher-order cumulant fitting is proposed for nonlinear channel identification. Compared with the conventional method which uses 2nd-order cumulant as a constraint, the proposed method use 4th-order cumulant in order to smooth out the additive Gaussian noise. Since the cost function with higher order statistics has local minima, we also propose to use a simplex-genetic algorithm to minimize the cost function. The applicability of the proposed method is demonstrated by computer simulations

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Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE  (Volume:2 )

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