基于离散粒子群算法的MC-CDMA多用户检测

A Multiuser Detection for MC-CDMA Systems Based on Particle Swarm Optimization Algorithm

多载波码分多址(MC-CDMA)系统中主要存在多径和多址两种干扰。多径干扰可通过正交频分复用(OFDM)技术来消除,多址干扰需采用多用户检测技术来消除。提出了一种基于离散粒子群算法的MC-CDMA多用户检测方法。因离散粒子群算法中需设置的参数较少,计算简单,故提出的MC-CDMA多用户检测法计算复杂度较低。仿真结果表明,该多用户检测方法的抗噪声能力、抗远近效应能力及系统容量均优于最小均方误差多用户检测,更加逼近最佳多用户检测的性能。

There are two main interferences in the multi-carrier code division multiple access （MC-CDMA） systems, namely, the multi-path interference and the multiple access interference （MAI）. The multi-path interference can he eliminated by the orthogonal frequency division multiplexing （OFDM） technology, and MAI can he eliminated by the multi-user detection （MUD）. This paper presents a MUD method based on a discrete particle swarm optimization （DPSO） algorithm. Its computational complexity is low, because of less parameter and simple calculation of the DPSO algorithm. Simulation results show that the performance of the proposed MUD method is better than that of minimum mean square error（MMSE） multi-user detection, nearly reaching the performance of optimal multiuser detection（OMD）.