电讯技术Issue(6)：775-779,5.DOI:10.3969/j.issn.1001-893x.2014.06.015
新变步长自适应算法及其时延估计性能
A New Variable Step-size LMS Adaptive Filtering Algorithm and its Performance in Time Delay Estimation
摘要
Abstract
For the contradition of existing variable step-size adaptive algorithms between convergence speed and steady-state error,a new variable step-size least mean square(LMS) adaptive filtering algorithm is proposed. Based on a function of the class S,this new algorithm introduces a reference of adjustment factor P to perform real-time adjustments of the shape of step function,and adjusts the step according to error’s autocorrelation mean value so that the convergence is faster innitially and the step changes more smoothly at steady state. The introduction of maximum likelihood weighted algorithm further suppresses the spurious peaks of adaptive filter weights. The new algorithm with maximum likelihood weighted is applied in adaptive time delay estimation experiment,and the result shows under the condition of the existing fixed parameters, the newly-proposed algorithm has faster convergence and smaller steady-state error. Meanwhile,accurate delay estimation when SNR is above -3 dB can be achieved effectively.关键词
自适应滤波/变步长/调节因子/最大似然加权/时延估计Key words
adaptive filtering/variable step-size/adjustment factor/LM weighted/time delay estimation分类
信息技术与安全科学引用本文复制引用
叶挺,朱赛男..新变步长自适应算法及其时延估计性能[J].电讯技术,2014,(6):775-779,5.基金项目
国家自然科学基金资助项目(41175003) （41175003）
江苏高校优势学科建设工程资助项目(PAPD)@@@@ Foundation Item:The National Natural Science Foundation of China (No.41175003) （PAPD）
The Priority Academic Program Development of Jiangsu Higher Education Institutions ( PAPD) （ PAPD）
