电子学报Issue(11)：2225-2230,6.DOI:10.3969/j.issn.0372-2112.2014.11.015
一种变步长凸组合LMS自适应滤波算法改进及分析
An Improved Variable Step-Size Convex Combination of LMS Adaptive Filtering Algorithm and Its Analysis
摘要
Abstract
In order to avoid the conflict between the convergence speed and stable state error for a single LMS filter ,and de-grade the performance of the recognition system ,we used combined least mean square (CLMS ) algorithm which is the parallel of fast LMS filter and slow LMS filter .Meanwhile ,to further improve the performance of the CLMS algorithm ,a new variable step-size convex combination of LMS (VSCLMS) algorithm was proposed by improving original VSCLMS .In the proposed algorithm , we considered the variable step-size filter on the basis of minimum mean square weight error (MMSWE) as the fast LMS filter ,and a new constant step-size filter based on steady-state LMS is used as the slow filter .By analyzing theory and experimental results ,the proposed algorithm ,which compared with the original VSCLMS algorithm and CLMS algorithm ,not only has a superior capability of tracking under the environment of noise ,time-varying and unstable condition ,but also can maintain a better convergence .关键词
自适应滤波/LMS算法/CLMS算法/VSCLMS算法/改进的VSCLMS算法Key words
adaptive filtering/LMS algorithm/CLMS algorithm/VSCLMS algorithm/improved VSCLMS algorithm分类
信息技术与安全科学引用本文复制引用
洪丹枫,苗俊,苏健,吴鑫,潘振宽..一种变步长凸组合LMS自适应滤波算法改进及分析[J].电子学报,2014,(11):2225-2230,6.基金项目
国家自然科学基金 （）
