DS-CDMA信号盲分离自适应算法研究  

Research on Blind Signal Separating Adaptive Algorithm for CDMA System

作　　者：吴麒[1] WU Qi(Southwest China Institute of Electronic Technology, Chengdu Sichuan 610036, China)

机构地区：[1]中国西南电子技术研究所,四川成都610036

出　　处：《长沙大学学报》2017年第2期38-41,共4页Journal of Changsha University

基　　金：国防科技重点实验室基金(批准号:9140C020203150C02008)资助项目

摘　　要：对于DS-CDMA通信系统而言,对不同用户的信号进行分离是十分困难的.盲信号分离算法是解决该问题的重要手段之一.分析了基于LMS/RLS/Kalman滤波/APA的DS-CDMA信号盲分离自适应算法的原理,并仿真比较了上述盲分离自适应算法的性能.计算结果表明APA算法在误码率及信干比方面具有优势.For DS - CDMA communication system, it is very difficult to separate the signals of different users. The blind signal separa-ting algorithm is one of the most common techniques for solving the above problem. In this paper, we analyze the principles for some blind separating adaptive algorithms, i. e. , the LMS algorithm, the RLS algorithm, the Kalman - filter base algorithm, and the APA algorithm. The simulation results show that the APA algorithm has a better BER and SINR performance than other algorithms.

关 键 词：直接序列码分多址 通信侦察 盲分离 误码率 

分 类 号：TN929.533[电子电信—通信与信息系统]