Adaptive algorithms for active sound-profiling

Author

Rees, Lewis E. ; Elliott, Stephen J.

Author_Institution

Inst. of Sound & Vibration, Univ. of Southampton, UK

Volume

14

Issue

2

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

711

Lastpage

719

Abstract

Three novel adaptive algorithms are proposed for use in active sound-profiling, all based on the filtered-X least mean square (FXLMS) approach. The algorithms are analyzed for their stability properties and control effort load, and are compared with the currently used adaptive noise equalizer least mean square (ANE-LMS) algorithm. It is found that the most suitable algorithm, both in simulations and experimentally, is the phase scheduled command FXLMS (PSC-FXLMS), which possesses both low control effort and good stability in the face of plant model misestimation, especially when using an automatic phase command law.

Keywords

active noise control; adaptive equalisers; least mean squares methods; active sound-profiling; adaptive noise equalizer; automatic phase command law; filtered-X least mean square; Acoustic noise; Adaptive algorithm; Adaptive control; Adaptive filters; Algorithm design and analysis; Automatic control; Equalizers; Programmable control; Scheduling algorithm; Stability analysis; Active noise control (ANC); PSC-FXLMS; active sound-profiling; adaptive noise equalizer (ANE); command-FXLMS; filtered-X least mean square (FXLMS); internal model FXLMS;

fLanguage

English

Journal_Title

Audio, Speech, and Language Processing, IEEE Transactions on

Publisher

ieee

ISSN

1558-7916

Type

jour

DOI

10.1109/TSA.2005.855828

Filename

1597273