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Proceedings Paper

Robust beamforming algorithms for acoustic tracking of ground vehicles
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Paper Abstract

The problem of detection and localization of multiple acoustic sources using unattended passive sensors is considered. Existing wideband Capon direction of arrival (DOA) estimation methods typically fail to accurately detect and resolve multiple closely spaced sources in presence of model mismatches and wavefront perturbations caused by senor location errors and near-field effects. This paper applies a set of adaptive beamforming methods in reduced dimension subspace for non-ideal acoustic array sensing scenarios. A robust wideband Capon method is studied to account for the inherent uncertainties in the array steering vector. To improve the resolution within a sector of interest the beamspace method is extended and applied to this problem. These methods are then implemented and benchmarked on real acoustic signatures of multiple ground vehicles moving in tight formations.

Paper Details

Date Published: 2 May 2006
PDF: 12 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 623107 (2 May 2006); doi: 10.1117/12.666844
Show Author Affiliations
Nicholas J. Roseveare, Colorado State Univ. (United States)
Mahmood R. Azimi-Sadjadi, Information System Technologies, Inc. (United States)


Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)

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