NDLI: Optimal filter design for active noise canceling systems using linear programming in the cepstral domain

Content Provider	IEEE Xplore Digital Library
Author	Laroche, J.
Copyright Year	2005
Description	Author affiliation: Creative Adv. Technol. Center, Scotts Valley, CA (Laroche, J.)
Abstract	A class of simple active noise-canceling algorithms rely on negative feedback techniques [S.J. Elliott et al, 1993 and S.M. Kuo et al, 1999]. In such systems, a microphone captures the combination of the incoming noise and the "anti-noise" emitted by a loudspeaker, and that signal is filtered, amplified, and phase-inverted, then sent back to the loudspeaker. Most commercially available active noise-reduction headphones use negative feedback systems, because they can easily be implemented using analog components, are relatively simple, and can achieve fairly good performance. The problem of designing the filter to be used in the feedback loop isn't simple though: the filter must have a high gain in the frequency region where significant noise attenuation is desirable, but must guarantee that the closed-loop system remains stable. These two constraints run against one another, and to this author's knowledge, no optimal design procedure has yet been proposed to design such filters. This paper presents an algorithm for designing optimal FIR filters (and near optimal IIR filters) to be used in negative-feedback active noise-canceling systems. The algorithm uses the cepstral domain to constrain the filter in both magnitude and phase, and a linear-programming optimization technique to achieve the maximum noise attenuation while maintaining stability
Starting Page	174
Ending Page	177
File Size	226633
Page Count	4
File Format	PDF
ISBN	0780391543
DOI	10.1109/ASPAA.2005.1540198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active filters Nonlinear filters Active noise reduction Noise cancellation Linear programming Cepstral analysis Finite impulse response filter IIR filters Negative feedback Phase noise
Content Type	Text
Resource Type	Article

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