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Feasibility of applying genetic algorithms in space-time block coded multiuser detection systems

机译:在空时分组编码多用户检测系统中应用遗传算法的可行性

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摘要

A genetic algorithm (GA) for sub-optimal detection applied in space-time block coded (STBC) multiuser detection (MUD) systems in a Rayleigh flat-fading channel is reported for the first time. The technique yields a computational complexity which is two orders lower than that of conventional maximal likelihood (ML) detection. The simulation results confirmed the feasibility of applying GA to solve STBC MUD problems. The bit error rate (BER) performance of the proposed receiver can approach that of the ML detection after sufficient generations. (c) 2004 Elsevier Inc. All rights reserved.
机译:首次报道了在瑞利平坦衰落信道中应用于空时分组编码(STBC)多用户检测(MUD)系统的次优检测遗传算法(GA)。该技术产生的计算复杂度比传统的最大似然(ML)检测低了两个数量级。仿真结果证实了应用遗传算法解决STBC MUD问题的可行性。在足够的世代之后,所提出的接收机的误码率(BER)性能可以接近ML检测的误码率。 (c)2004 Elsevier Inc.保留所有权利。

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