【摘 要】
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We employ a multiuser detection (MUD) method using a novel genetic algorithm (GA) based on complementary error function mutation (CEFM) and a differential algor
【机 构】
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Department of Automation, Wuhan University, Wuhan 430072, ChinaWuhan National Laboratory for Optoele
【出 处】
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浙江大学学报（英文版）（C辑：计算机与电子）
论文部分内容阅读
We employ a multiuser detection (MUD) method using a novel genetic algorithm (GA) based on complementary error function mutation (CEFM) and a differential algorithm (DA) for ultra-wideband (UWB) systems.The proposed MUD method is termed CEFM-GA DA for short.We describe the scheme ofCEFM-GA DA,analyze its algorithm,and compare its computational complexity with other MUDs.Simulation results show that a significant performance gain can be achieved by employing the proposed CEFM-GA DA,compared with successive interference cancellation (SIC),parallel interference cancellation (PIC),conventional GA,and CEFM-GA without DA,for UWB systems in Iognormal fading channel.Moreover,CEFM-GA DA not only reduces computational complexity relative to conventional GA and CEFM-GA without DA,but also improves bit error rate (BER)performance.
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