直扩系统中基于循环平稳特性的低秩盲自适应抗干扰算法  

Low Rank Blind Adaptive algorithm for Narrow-Band Interference Suppression Based on Cyclostationarity Property

作　　者：梅阳[1] 张尔扬[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,长沙410073

出　　处：《信号处理》2008年第2期264-267,共4页Journal of Signal Processing

摘　　要：直扩系统中,频移滤波器可得到比传统线性时不变滤波器更好的抗干扰效果。本文在频移滤波器基础上,在约束MMOE准则下,研究一种低秩盲自适应算法---盲循环多级维纳滤波算法。理论分析和仿真表明,这种算法比同准则下的最小递归二乘算法有更低的复杂度和计算量,并且可以获得相当的抗干扰效果。A narrowband interference suppression filter based on the frequency shift filter can achieve a better performance than that based on the conventional LTL filter in DSSS. Based on the FRESH architecture,This paper study the blind cyclic Multistage Winner Filter（MSWF） adaptive versions of the constrained minimum mean output energy （MMOE） criterion. The theoretic analyses and the simulated results indicate that the adaptive algorithm has less computational complexity than the blind cyclic RLS algorithm, and can offer comparable performance.

关 键 词：窄带干扰抑制 约束最小均值输出能量准则 频移滤波器 多级维纳滤波 

分 类 号：TN92[电子电信—通信与信息系统] TN914.53[电子电信—信息与通信工程]