基于预测码辅助的CDMA系统盲NBI抑制技术

摘要

在信号统计特性和训练序列未知的情况下,针对现存盲自适应最小均方（LMS,Least Mean Square）码辅助算法码分多址（CDMA,Code Division Multiple Access）系统强窄带干扰（NBI）进行抑制时稳态性能较差,以及盲自适应递归最小二乘（RLS,Recursive Least Square）码辅助算法收敛速度和性能难以折中的问题,提出盲自适应预测码辅助技术。盲自适应预测码辅助技术基于盲自适应RLS预测-LMS码辅助算法实现,实现了对三类NBI的抑制,包括音频干扰、数字窄带干扰和自回归（AR,Autoregressive）随机过程。本文详细分析了盲自适应RLS预测-LMS码辅助算法的性能,并通过仿真分析证明了算法的有效性。%A blind adaptive prediction and code-aided technique for narrow-band interference（NBI）suppression of code division multiple access（CDMA）systems is proposed.This technique is based on blind adaptive recursive least square（RLS）prediction-least mean square（LMS）code-aided algorithm to solve the problem that adaptive LMS code-aided algorithm has poor steady state performance and adaptive RLS code-aided algorithm has conflict with constringency and steady performance.The rejection of this technique is against three type of NBI,namely,sinusoidal tones,data NBI and autoregressive（AR）stochastic process.In this paper,the performance of blind adaptive RLS prediction-LMS code-aided technique is analyzed.The feasibility of proposed algorithm is proved through simulations.