模拟退火遗传算法及其在CDMA多用户检测中的应用

Yue Zhou, Hong Wang, Yingzi Wei, Jing Wang
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引用次数: 6

摘要

显然,3G(第三代)和B3G(超第三代移动通信系统)通信系统需要更高的无线容量。多用户检测技术是码分多址(CDMA)系统的关键技术之一。该技术利用CDMA系统接收端的结构化信息,可以减少多址干扰(MAI)和码间干扰(ISI),也可以在存在多用户信号的情况下实现信息解调。本文提出了一种新的多用户检测技术——模拟退火遗传算法。该算法将模拟退火算法应用于遗传算法。首先给出初始群,然后利用遗传算法使搜索逐渐收敛到可行的全局最优解或次最优解,然后利用模拟退火算法进行局部优化。仿真结果表明,所提出的多用户检测器接近最优检测器,且在抗mai和抗isi性能上优于传统检测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulated Annealing-Genetic Algorithm and Its Application in CDMA Multi-user Detection
It is evident that the 3G(3rd-generation) and B3G(Beyond Third Generation in mobile communication system) communication systems need higher wireless capacity. Multi-user detection(MUD) technique is one of the key techniques in Code Division Multiple-Access(CDMA) system. This technique can reduce the multiple access interference (MAI) and inter symbol interference (ISI) by using the structured information at the receiving end in the CDMA system, and it can also realize the information demodulation while there exist multi-user signals. This paper presents a new Multi-user detection technique, that is simulated annealing-genetic algorithm. This proposed algorithm applies simulated annealing (SA) to genetic algorithm (GA). First, the initial group is given, then the genetic algorithm is used to make the search gradually convergent to the feasible globally optimal solution or sub-optimal solution, then the simulated annealing is used to do the local optimization. Simulations show that the proposed multi-user detector is close to the optimal one and better than the conventional one in the performance of anti-MAI and anti-ISI.
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