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Multiuser detection based on modified PSO algorithm for synchronous CDMA systems

机译:基于改进PSO算法的同步CDMA系统多用户检测

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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.
机译:最佳最大似然检测器的计算复杂性使其无法用于码分多址(CDMA)系统中的多用户检测(MUD)。本文提出了一种新的粒子群算法(PSO)对同步CDMA系统进行MUD。这项工作考虑了两个新方面,即基于牛顿法的自适应速度更新机制和动态惯性权重到标准PSO中。这些机制可以提供更多的多样性,以帮助避免过早收敛并显着提高误码率性能。若干计算机仿真结果表明,所提出的改进的PSO检测器明显优于去相关检测器,线性最小均方误差检测器和基于PSO的标准检测器。

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