拉伸技术粒子群优化算法的多用户检测器

基金项目:

国家自然科学基金资助项目(60372002)

详细信息

Multiuser Detector Based on Particle Swarm Optimization with Stretching Technique

School of Opto-Electronic Information,University Eletronic Science and Technology of China Chengdu 610054

摘要: 粒子群优化算法是一类新型进化算法,为提高粒子群优化算法对复杂问题全局最优解的探测能力,该文引入一种基于拉伸技术的粒子群优化算法,把它应用到CDMA通信系统中抗干扰关键技术——多用户检测中,提出了基于拉伸粒子群算法的多用户检测器。仿真结果表明,该检测器在误码率性能、抗远近效应和增加系统容量方面的性能较之其他的检测器均有明显的提高。
- 多用户检测 /
- 远近效应 /
- 粒子群优化算法 /
- 拉伸技术
Abstract: Particle Swarm Optimization (PSO) is a new evolutionary algorithm. In this paper, to improve the ability of the PSO algorithm for detecting global values, the Stretching Particle Swarm Optimization(SPSO), proposed by Parsopoulos, is introduced as a key technique to Code-Division Multiple-Access (CDMA) mobile system. We call this approach the SPSO Multi-User Detection (SPSO_MUD), the experimental results indicate that the performance of the SPSO_MUD is more efficient in BER capability, near-far resistance, and enlarging the system capacity than other detectors.
- multi-user detection /
- near-far resistance /
- particle swarm optimization /
- stretching technique