基于内插型双边带滤波器的时域自适应滤波  

Time-Domain Adaptive Filtering Algorithms Based on Interpolating Transversal Filter with Two-Sided Taps

作　　者：刘泳庆[1] 邵晓田 李一品[1] 王爱华[1] 王帅[1] LIU Yong-qing SHAO Xiao-tian LI Yi-pin WANG Ai-hua WANG Shuai(School of Information and Electronics,Beijing Institute of Technology, Beijing 100081, China)

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《北京理工大学学报》2016年第10期1085-1088,1095,共5页Transactions of Beijing Institute of Technology

基　　金：国家八六三计划项目(2012AA01A505);国家自然科学基金资助项目(61271258)

摘　　要：针对过采样条件下直接序列扩频(DSSS)系统中采样样值相关性造成在使用传统时域自适应滤波窄带干扰抑制方法时扩频信号失真的问题,提出一种改进的时域自适应滤波方法.该方法基于内插型双边带滤波器,采用抽取-内插结构,结合最小均方(LMS)算法进行自适应权值更新,实现窄带干扰抑制.理论分析和仿真结果表明,在高信噪比情况下,该方法与常规自适应滤波方法比较,具有更小的信噪比回退和有用信号畸变;同时低信噪比情况下,其误码率性能也略有优势.In correlation b interference s system, an order to solve the problem of spread etween the samples with general uppression method in the oversamp improved time-domain adaptive f spectrum signal distortion caused by raised time-domain adaptive filtering narrowband mg lter interpolating transversal filter with two-sided taps direct sequence spread spectrum （DSSS） ing algorithm was proposed based on and the minimum mean square （LMS） algorithm to update the weights adaptively. Combined with downsample-upsample structure, it could effectively suppress narrowband interference. Both theoretical analysis and simulations show that, compared with traditional adaptive filter method, the proposed algorithm can not only lower signal-to-noise ratio （SNR） loss, but also get excellent characteristics as small distortion of desired signal in high SNR conditions, meanwhile it has a slight advantage in bit error rate（BER） performance in the low SNR conditions.

关 键 词：过采样 时域自适应滤波 干扰抑制 LMS算法 

分 类 号：TN914.4[电子电信—通信与信息系统]