间歇自适应RLS算法

针对滤波－ＸＬＭＳ算法收敛速度慢，宽带消声效果差的缺点，本文提出间歇自适应ＲＬＳ算法，通过计算机仿真及数字信号处理硬件分析，表明：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．

An Intermittent RLS Algorithm Applied to Adaptive Active Control of Broadband Noise

In this paper,an intermittent Recursive Least Squares aRLS)algorithm is proposed.In comparisonwith the commonly used Filtered-X LMS algorithm applied to active control of broadband noise.IRLSalgorithm has not only rapid convergCnce behavior, substantial noise reduction but also relatively lowcomputational load. Firstly, a Filtered-X RLS(FRLS)algorithm is derived,which adjUsts the outputs ofthe secondary sources to minimize a cost function comprising a combination of the weighted sum ofSquares of signals obtained from a number of error sensors fed to the secondary sources.Secondly,theweight coemcients of FRLS algorithm is updated within each time-delay of sound wave propagationfrom the secondary source to the error sensor and this new algorithm is called IRLS algorithm,Computersimulation results show that IRLS algorithm has the above-mentioned advantages.Finally, hardwareimplementation based on TMS320C25 digital signal processor is discussed in detail and it has been shownthat IRLS algorithm is practical for use.