NDLI: Far-Field Acoustic Source Localization and Bearing Estimation Using <formula formulatype=inline><tex Notation=TeX>$SigmaDelta$</tex> </formula> Learners

Content Provider	IEEE Xplore Digital Library
Author	Gore, A. Fazel, A. Chakrabartty, S.
Copyright Year	2004
Abstract	Localization of acoustic sources using miniature microphone arrays poses a significant challenge due to fundamental limitations imposed by the physics of sound propagation. With sub-wavelength distances between the microphones, resolving acute localization cues become difficult due to precision artifacts. In this paper we propose a framework which overcomes this limitation by integrating signal-measurement (analog-to-digital conversion) with statistical learning (bearing estimation). At the core of the proposed approach is a min-max stochastic optimization of a regularized cost function that embeds manifold learning within ¿¿ modulation. As a result, the algorithm directly produces a quantized sequence of the bearing estimates whose precision can be improved asymptotically similar to a conventional ¿¿ modulators. In this paper we present a hardware implementation of a miniature acoustic source localizer which comprises of: (a) a common-mode canceling microphone array and (b) a ¿¿ integrated circuit which produces bearing parameters. The parameters are then combined in an estimation procedure that can achieve a linear range from 0°-90°. Measured results from a prototype fabricated in a 0.5 ¿m CMOS process demonstrate that the proposed localizer can reliably estimate the bearing of an acoustic source with a resolution less than 2° while consuming less than 75 ¿W of power.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	783
Ending Page	792
Page Count	10
File Size	1785201
File Format	PDF
ISSN	15498328
Volume Number	57
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Delta-sigma modulation Microphone arrays Acoustic arrays Physics Acoustic propagation Signal resolution Analog-digital conversion Statistical learning Stochastic processes $\Sigma\Delta$ modulation Analog-to-information converter bearing estimation high-dimensional array processing microphone arrays on-chip learning oversampling converters source localization
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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