应用于有源消声的间歇自适应RLS算法

An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control

自适应有源消声最常用的算法是滤波－ＸＬＭＳ（ＦＬＭＳ）算法，虽然ＦＬＭＳ算法运算量小，实现简便，但该算法收敛速度慢，宽带消声效果差，针对ＦＬＭＳ算法的不足，利用误差通道时延特性，本文提出间歇自适应ＲＬＳ算法，该算法兼有收敛速度快，宽带消声效果好，以及运算量相对较小的优点．

The most commonly used algorithm for Adeprive Active Noise Control(AANC)is Filtered-X LMS(FLMS)algorithm. However,this algorithm isn't suitable for active control of broadband noise.In this paper,an Intermittent RLS (IRLS)algorithm is presented by taking advantage of the time delay of sound propagation from the secondary source to the error sensor,which is characterized by not only fast convergence and substantial broadband noise reduction but also small computational load relative to Filtered-XRLS algorithm.