The Random Walk Model Kalman Filter in Multichannel Active Noise Control

被引：12

作者：

Lopes, Paulo A. C. ^{[1
]}

Gerald, Jose A. B. ^{[1
]}

Piedade, Moises S. ^{[1
]}

机构：

[1] Univ Lisbon, Inst Super Tecn, INESC ID IST UL, Inst Engn Sistemas & Comp Invest & Desenvolviment, P-1000029 Lisbon, Portugal

来源：

IEEE SIGNAL PROCESSING LETTERS | 2015年 / 22卷 / 12期

关键词：

Active noise control; kalman filter; multichannel; random walk; rls; AFFINE PROJECTION ALGORITHM; LEAST-SQUARES ALGORITHMS; STABILITY;

D O I：

10.1109/LSP.2015.2475357

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to adapt the Kalman filter (KF), the RLS algorithm or other, to single channel active noise control (ANC) the MFx structure is used. But, this is more complex in the multichannel case. The RLS and others have been adapted to multichannel ANC. However, there has been no adaptation of the KF based on a random walk state space model. This is similar to the RLS but has some advantages. The RLS algorithm tries to invert the autocorrelation matrix of the reference signal, and can become unstable if this is singular. The same is not true for random walk based KF. In the paper we present an adaptation of the KF to multi-channel ANC.

引用

页码：2244 / 2248

页数：5

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