New Kalman Filtering Algorithm for Narrowband Interference Suppression in Spread Spectrum Systems  

作　　者：许光辉 胡光锐 

机构地区：[1]Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, P. R. China

出　　处：《Journal of Shanghai University(English Edition)》2005年第5期425-428,共4页上海大学学报（英文版）

基　　金：Project supported by National Natural Science Foundation of Chi-na (Grant No .60172018)

摘　　要：A new Kalman filtering algorithm based on estimation of spread spectrum signal before suppression of narrowband interference （NBI） in spread spectrum systems, using the dependence of autoregressive （AR） interference, is presented compared with performance of the ACM nonlinear filtering algorithm, simulation results show that the proposed algorithm has preferable performance, there is about 5 dB SNR improvement in average.A new Kalman filtering algorithm based on estimation of spread spectrum signal before suppression of narrowband interference （NBI） in spread spectrum systems, using the dependence of autoregressive （AR） interference, is presented compared with performance of the ACM nonlinear filtering algorithm, simulation results show that the proposed algorithm has preferable performance, there is about 5 dB SNR improvement in average.

关 键 词：Kalman filter ACM nonlinear filter narrowband interference （NBI） AR model. 

分 类 号：TN713[电子电信—电路与系统]