An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control

陈克安; 马远良

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An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control

更新时间：2025-12-08

- An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control
- Acta Electronica Sinica Issue 7, (1995)
- 作者机构：
  
  西北工业大学航海工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TB535.2
- Published：1995
- 稿件说明：
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[1]陈克安,马远良.应用于有源消声的间歇自适应RLS算法[J].电子学报,1995(07):83-86.

陈克安, 马远良. An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control[J]. Acta Electronica Sinica, 1995, (7).
[1]陈克安,马远良.应用于有源消声的间歇自适应RLS算法[J].电子学报,1995(07):83-86. DOI：

陈克安, 马远良. An Intermittent RLS Algorithm Applied to Adaptive Active Noise Control[J]. Acta Electronica Sinica, 1995, (7). DOI：

摘要

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．

Abstract

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.

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