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Proceedings Paper

Wideband DOA estimation algorithms for multiple target detection and tracking using unattended acoustic sensors
Author(s): Mahmood R. Azimi-Sadjadi; Ali Pezeshki; Louis L. Scharf; Myron E. Hohil
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Paper Abstract

The problem of detection, tracking and localization of multiple wideband sources (ground vehicles) using unattended passive acoustic sensors is considered in this paper. Existing methods typically fail to detect, resolve and track multiple closely spaced sources in tight formations, especially in the presence of clutter and wind noise. In this paper, several existing wideband direction of arrival (DOA) estimation algorithms are extended and applied to this problem. A modified version of the Steered Covariance Matrix (STCM) algorithm is presented that uses a two-step search process. To overcome the problems of existing DOA estimation methods, new wideband versions of the narrowband Capon beamforming method are proposed that use various algorithms for combining power spectra from different frequency bins. These methods are then implemented and benchmarked on a real acoustic signature data set that contains multiple ground targets moving in tight formations.

Paper Details

Date Published: 1 September 2004
PDF: 11 pages
Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); doi: 10.1117/12.543332
Show Author Affiliations
Mahmood R. Azimi-Sadjadi, Information System Technologies, Inc. (United States)
Ali Pezeshki, Colorado State Univ. (United States)
Louis L. Scharf, Colorado State Univ. (United States)
Myron E. Hohil, U.S. Army TACOM-ARDEC (United States)


Published in SPIE Proceedings Vol. 5417:
Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI
Edward M. Carapezza, Editor(s)

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