Multiuser detection based on modified PSO algorithm for synchronous CDMA systems

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• 作者：Jhih-Chung Chang (1)
  
• 关键词：Multiuser detection (MUD) ; Particle swarm optimization (PSO) ; Linear minimum mean square error (LMMSE)
• 刊名：Neural Computing & Applications
• 出版年：2013
• 出版时间：September 2013
• 年：2013
• 卷：23
• 期：3-4
• 页码：751-760
• 全文大小：1190KB
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• 作者单位：Jhih-Chung Chang (1)
  
  1. Department of Information Technology, Ling Tung University, Taichung, 408, Taiwan, ROC
  
• ISSN：1433-3058

文摘

The computational complexity of the optimum maximum-likelihood detector does not allow its utility for multiuser detection (MUD) in code-division multiple-access (CDMA) systems. In this paper, a novel particle swarm optimization (PSO) algorithm is suggested to carry out MUD for synchronous CDMA systems. This work considers two new aspects, namely an adaptive velocity updating mechanism based on Newton method and a dynamic inertia weight into the standard PSO. These mechanisms can provide more diversity to help avoiding premature convergence and significantly improve the bit error rate performance. Several computer simulation results demonstrate that the proposed modified PSO detector significantly outperforms the decorrelating detector, the linear minimum mean square error detector, and the standard PSO-based detector.