DS-CDMA信号盲分离自适应算法研究

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 separating 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.