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Multiuser Detection Employing a Novel Genetic Algorithm for UWB Communications

Authors
Publisher
Elsevier Ltd
Publication Date
Volume
15
Identifiers
DOI: 10.1016/j.proeng.2011.08.471
Keywords
  • Multiuser Detection (Mud)
  • Ultra-Wideband (Uwb)
  • Genetic Algorithm (Ga)
  • Complementary Error Function Mutation (Cefm)
Disciplines
  • Computer Science
  • Mathematics

Abstract

Abstract In this paper, a differential multiuser detection (MUD) method using a novel genetic algorithm (GA) based on complementary error function mutation (CEFM) is employed for ultra-wideband (UWB) systems. The proposed MUD method, which combines a novel GA based on CEFM, is termed CEFM-GA for short. We describe the schemes of the CEFM-GA, analyze their algorithms and compare their computational complexity with other MUDs. Simulation results show a significant bit error rate (BER) performance gain can be achieved by employing the proposed CEFM-GA compared with successive interference cancellation (SIC), parallel interference cancellation (PIC) and conventional GA for UWB systems in lognormal fading channel.

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