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LMS and RLS algorithms comparative study in system identification

机译:LMS和RLS算法系统识别中的比较研究

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摘要

In this paper the two most basic adaptive algorithms: LMS and RLS are discussed. Which were compared to the search path, RLS algorithm through theoretical analysis shows that the convergence rate is faster than the LMS algorithm. Finally, RLS and LMS algorithms are applied to system identification, the experimental data further illustrate the convergence rate of RLS algorithm is better than LMS algorithm.
机译:在本文中,讨论了两个最基本的自适应算法:LMS和RLS。将其与搜索路径进行比较,RLS算法通过理论分析表明收敛速率比LMS算法更快。最后,RLS和LMS算法应用于系统识别,实验数据进一步说明了RLS算法的收敛速率优于LMS算法。

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