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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 algorithm (DA) for ultra-wideband (UWB) systems.The proposed MUD method is termed CEFM-GA DA for short.We describe the scheme of CEFM-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 lognormal 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.
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 GA DA for short. We describe the scheme of CEFM-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 lognormal 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.