粒子群优化算法在CDMA多用户检测中的应用

H. H. El-Mora, A. Sheikh, A. Zerguine
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引用次数: 18

摘要

多址干扰和远近效应是直接序列/码分多址(DS-CDMA)系统中使用的传统单用户探测器性能受限的主要原因。本文提出了一种基于粒子群算法(MUDPSO)的多用户检测器(MUD)。我们利用蒙特卡罗模拟技术评估了该算法的误码率性能,并将其与匹配滤波器检测器和去相关多用户检测器的误码率性能进行了比较。我们证明了新算法优于其他两种算法。此外,还研究了该探测器在近远场景下的性能、系统容量和计算复杂度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of particle swarm optimization algorithm to multiuser detection in CDMA
Multiple access interference and near-far effect cause performance limitation in the conventional single-user detector used in direct sequence/code division multiple access (DS-CDMA)-systems. In this paper, we present a novel multiuser detector (MUD) based on the new heuristic algorithm known as particle swarm algorithm (MUDPSO). We evaluate the BER performance of the proposed algorithm, by means of Monte Carlo simulation technique, and compare it to the BER performances of both the matched filter detector and the decorrelator multiuser detectors. We show that the new algorithm outperforms the other two. Moreover, the performance under near-far scenario, the system capacity and the computational complexity of the proposed detector are also investigated
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