Genetic algorithm assisted channel estimation for multi-user communication systems

Authors:
Arash Ghasemmehdi;Vahid Reza Asghari;Mehrdad Ardebilipour
Affiliations:
Department of Electrical Engineering, K.N.Toosi University of Technology, Electrical Faculty, Iran;Department of Electrical Engineering, K.N.Toosi University of Technology, Electrical Faculty, Iran;Department of Electrical Engineering, K.N.Toosi University of Technology, Electrical Faculty, Iran
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

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Abstract

A novel multiuser code division multiple access (CDMA) channel estimator based on genetic algorithm is considered which estimates the fading channel impulse response coefficients of all the users. Furthermore, the optimum multiuser detector, based on the maximum likelihood (ML) rule, is developed in order to identify the transmitted data sequence. As is demonstrated in simulation results, the proposed method in channel estimation is much more accurate. As a result, we can achieve a near-optimum bit error rate (BER) performance upon perfect channel estimation.