Y. Du and K.T. Chan (PRC)
genetic algorithm (GA), space time block coding (STBC), multiuser detection (MUD) , objective function
A genetic algorithm (GA) for sub-optimal detection in space-time block coding (STBC) multiuser detection (MUD) systems is reported for the first time. The technique yields a much lower computational complexity compared with conventional maximal likelihood (ML) detection. The feasibility of applying GA to solve STBC MUD problems is confirmed by simulation results which show that the computational time of the proposed method is less than that of the ML detection by two orders of magnitude and the bit error rate performance achieved in a Rayleigh flat-fading channel can approach that of the ML detection after sufficient generations.
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