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抑制扩频系统中窄带干扰的新卡尔曼滤波算法
引用本文:许光辉,胡光锐.抑制扩频系统中窄带干扰的新卡尔曼滤波算法[J].上海大学学报(英文版),2005,9(5):425-428.
作者姓名:许光辉  胡光锐
作者单位:Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, P. R. China
基金项目:Project supported by National Natural Science Foundation of China (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.

关 键 词:Kalman过滤算法  窄带干涉抑制  扩展光谱系统  AR模型  信噪比
文章编号:1007-6417(2005)05-0425-04
收稿时间:2003-12-15
修稿时间:2004-02-24

New Kalman filtering algorithm for narrowband interference suppression in spread spectrum systems
Xu?Guang-hui,Hu?Guang-rui.New Kalman filtering algorithm for narrowband interference suppression in spread spectrum systems[J].Journal of Shanghai University(English Edition),2005,9(5):425-428.
Authors:Xu Guang-hui  Hu Guang-rui
Institution:Shanghai Jiaotong University
Abstract: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.
Keywords:Kalman filter  ACM nonlinear filter  narrowband interference (NBI)  AR model  
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