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Open Access

Constant False Alarm Rate Sound Source Detection with Distributed Microphones

  • Kevin D. Donohue1Email author,
  • Sayed M. SaghaianNejadEsfahani1 and
  • Jingjing Yu1
EURASIP Journal on Advances in Signal Processing20112011:656494

Received: 5 March 2010

Accepted: 24 January 2011

Published: 15 February 2011


Applications related to distributed microphone systems are typically initiated with sound source detection. This paper introduces a novel method for the automatic detection of sound sources in images created with steered response power (SRP) algorithms. The method exploits the near-symmetric coherent power noise distribution to estimate constant false-alarm rate (CFAR) thresholds. Analyses show that low-frequency source components degrade CFAR threshold performance due to increased nonsymmetry in the coherent power distribution. This degradation, however, can be offset by partial whitening or increasing differential path distances between the microphone pairs and the spatial locations of interest. Experimental recordings are used to assess CFAR performance subject to variations in source frequency content and partial whitening. Results for linear, perimeter, and planar microphone geometries demonstrate that experimental false-alarm probabilities for CFAR thresholds ranging from 10-1 and 10-6 are limited to within one order of magnitude when proper filtering, partial whitening, and noise model parameters are applied.


False AlarmFalse Alarm RateSound SourceNoise DistributionPublisher Note

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Authors’ Affiliations

Department of Electrical and Computer Engineering, University of Kentucky, Lexington, USA


© Kevin D. Donohue et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.