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The Scientific World Journal
Volume 2014, Article ID 582397, 13 pages
http://dx.doi.org/10.1155/2014/582397
Research Article

Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources

1Department of Mathematics and Computer Science, University of Udine, 33100 Udine, Italy
2Department of Information Engineering, University of Padova, 35131 Padova, Italy

Received 5 August 2013; Accepted 2 January 2014; Published 20 February 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Daniele Salvati and Sergio Canazza. 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.

Abstract

In this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same source. The use of systems implementing a Bayesian filter is a traditional approach to address the problem of localization in multisource acoustic scenario. However, in a real noisy open space the acoustic sources are often discontinuous with numerous short-duration events and thus the filtering methods may have difficulty to track the multiple sources. Incident signal power comparison (ISPC) is proposed to compute DOAs association. ISPC is based on identifying the incident signal power (ISP) of the sources on a microphone array using beamforming methods and comparing the ISP between different arrays using spectral distance (SD) measurement techniques. This method solves the ambiguities, due to the presence of simultaneous sources, by identifying sounds through a minimization of an error criterion on SD measures of DOA combinations. The experimental results were conducted in an outdoor real noisy environment and the ISPC performance is reported using different beamforming techniques and SD functions.