Genetic Algorithm Assisted Channel Estimation for Multi-user Communication Systems

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. Key-Words: Channel estimation, Genetic algorithms, CDMA and Multi-user communications.