DSSS通信中基于快速更新子带自适应滤波的窄带干扰抑制  

Fast Refreshed Subband Adaptive Filtering for NBI Suppression in DSSS Communications

作　　者：卢树军[1] 张春海 王世练[1] 张尔扬[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《信号处理》2006年第5期697-702,共6页Journal of Signal Processing

基　　金：JS63空间微波技术国防科技重点实验室基金(项目编号:2000JS63.3.1.KG0111)

摘　　要：本文面向直接序列扩频(DSSS)通信中的窄带干扰抑制,将分块更新子带自适应滤波的高频谱分隔特性和直接变换自适应滤波的逐点更新特性结合起来,提出了一种快速更新子带自适应(FRSAF)算法,给出了算法的迭代因子收敛界和快速实现结构。理论分析表明：该算法收敛迅速、迭代稳健,其性能明显优于经典子带自适应滤波算法和DCT/DFT-LMS算法,应用于DSSS通信可以得到优良的干扰抑制效果。仿真结果验证了上述结论。Subband adaptive filtering for narrow-band interference suppression in direct-sequence spread spectrum communications is studied in this paper. A novel algorithm named fast refreshed subband adaptive filtering（FRSAF） is proposed which is developed from classic subband adaptive filtering algorithm and transform domain adaptive filtering algorithm. The FRSAF algorithm yields significantly improved convergence rate and steady robustness on different interference frequency offset ratios, compared with classic subband adaptive filtering algorithms, LMS algorithm and DCT/DFT-LMS algorithms. Simulation results are included to demonstrate the efficacy of this new algorithm.

关 键 词：LMS算法 FRSAF算法 调制重叠变换 完全重构滤波器组 直接序列扩频 窄带干扰抑制 

分 类 号：TN713[电子电信—电路与系统]