Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination
Aimed at poor tracking performance of NLMS filter and filter under time-varying channel,a same step-size convex combination of the maximum mean square deviation algorithm was presented.The algorithm convexly combined two different adaptive filters with the same step-size based on a criterion of maxi...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0028-07/ |
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| _version_ | 1841539896372625408 |
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| author | Guo-sheng RUI Jun MIAO Yang ZHANG Lin WANG |
| author_facet | Guo-sheng RUI Jun MIAO Yang ZHANG Lin WANG |
| author_sort | Guo-sheng RUI |
| collection | DOAJ |
| description | Aimed at poor tracking performance of NLMS filter and filter under time-varying channel,a same step-size convex combination of the maximum mean square deviation algorithm was presented.The algorithm convexly combined two different adaptive filters with the same step-size based on a criterion of maximum mean square deviation.So the proposed filter could keep good dynamic performance in the time-varying channel and stability of mean square characteristics in convergence stage.Theoretical analysis and simulation results show that in the sparse and non-sparse state the proposed algorithm indicates the fastest convergence rate compared with NLMS,PNLMS and IPNLMS algorithm.In the fuzzy state,the performance of proposed algorithm is superior to the above three.Additionally,the steady-state performance of mean square also keeps well. |
| format | Article |
| id | doaj-art-31ba76d337e94c878f7fa9cd50e49bb0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-31ba76d337e94c878f7fa9cd50e49bb02025-01-14T06:31:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-03-0133283459660594Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combinationGuo-sheng RUIJun MIAOYang ZHANGLin WANGAimed at poor tracking performance of NLMS filter and filter under time-varying channel,a same step-size convex combination of the maximum mean square deviation algorithm was presented.The algorithm convexly combined two different adaptive filters with the same step-size based on a criterion of maximum mean square deviation.So the proposed filter could keep good dynamic performance in the time-varying channel and stability of mean square characteristics in convergence stage.Theoretical analysis and simulation results show that in the sparse and non-sparse state the proposed algorithm indicates the fastest convergence rate compared with NLMS,PNLMS and IPNLMS algorithm.In the fuzzy state,the performance of proposed algorithm is superior to the above three.Additionally,the steady-state performance of mean square also keeps well.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0028-07/adaptive filtersconvex combinationproportionate NLMS algorithmmaximum mean square deviation |
| spellingShingle | Guo-sheng RUI Jun MIAO Yang ZHANG Lin WANG Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination Tongxin xuebao adaptive filters convex combination proportionate NLMS algorithm maximum mean square deviation |
| title | Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination |
| title_full | Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination |
| title_fullStr | Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination |
| title_full_unstemmed | Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination |
| title_short | Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination |
| title_sort | maximum mean square deviation adaptive filtering algorithm with the same step size via convex combination |
| topic | adaptive filters convex combination proportionate NLMS algorithm maximum mean square deviation |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0028-07/ |
| work_keys_str_mv | AT guoshengrui maximummeansquaredeviationadaptivefilteringalgorithmwiththesamestepsizeviaconvexcombination AT junmiao maximummeansquaredeviationadaptivefilteringalgorithmwiththesamestepsizeviaconvexcombination AT yangzhang maximummeansquaredeviationadaptivefilteringalgorithmwiththesamestepsizeviaconvexcombination AT linwang maximummeansquaredeviationadaptivefilteringalgorithmwiththesamestepsizeviaconvexcombination |