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http://dx.doi.org/10.6109/jkiice.2007.11.11.2158

Blind Nonlinear Channel Equalization by Performance Improvement on MFCM  

Park, Sung-Dae (동의대학교 컴퓨터공학과)
Woo, Young-Woon (동의대학교 멀티미디어공학과)
Han, Soo-Whan (동의대학교 멀티미디어공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.11, 2007 , pp. 2158-2165 More about this Journal
Abstract
In this paper, a Modified Fuzzy C-Means algorithm with Gaussian Weights(MFCM_GW) is presented for nonlinear blind channel equalization. The proposed algorithm searches the optimal channel output states of a nonlinear channel from the received symbols, based on the Bayesian likelihood fitness function and Gaussian weighted partition matrix instead of a conventional Euclidean distance measure. Next, the desired channel states of a nonlinear channel are constructed with the elements of estimated channel output states, and placed at the center of a Radial Basis Function(RBF) equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a simplex genetic algorithm(GA), a hybrid genetic algorithm(GA merged with simulated annealing(SA): GASA), and a previously developed version of MFCM. It is shown that a relatively high accuracy and fast search speed has been achieved.
Keywords
Nonlinear blind equalization; Modified fuzzy c-means; Gaussian weights; RBF equalizer;
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