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Proceedings Paper

Multiple target localization using a passive volume array and adaptive spectral whitening schemes
Author(s): Mahmood R. Azimi-Sadjadi; Stewart Glegg; Manu Dufour
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Paper Abstract

A passive sonar array referred to as `Ambient Noise Sensor' or ANS is introduced in this paper. The ANS is a simple and cost effective passive array that can provide horizontal and vertical directivity measurements and generate beamforward images with very good resolution. This array has been successfully deployed in surveillance missions to measure ambient noise due to biologics and breaking waves as well as for tracking boats, autonomous underwater vehicles (AUVs) and other sources in shallow water environment. Recent measurements for tracking AUVs that emit packets of relatively narrow band signals, however, revealed some difficulties in the ability of the array to continuously localize and track the targets. This is particularly true when other competing sources or interference are also present and their spectral content overlap with those of the targets. In this paper, a simple spectral whitening method using a large order autoregressive model is developed to smooth out the spectra of the collected signals prior to beamforming. This is then used in conjunction with the ANS correlation-based beamformer designed primarily for localizing wideband sources. The results indicate the effectiveness of the developed methods for detecting and tracking of different sources in presence of high level of interference and noise. Additionally, the ability of the proposed scheme to resolve multiple tracks associated with AUVs and boats in the beamformed images is demonstrated.

Paper Details

Date Published: 12 July 2000
PDF: 8 pages
Proc. SPIE 4039, Information Systems for Divers and Autonomous Underwater Vehicles Operating in Very Shallow Water and Surf Zone Regions II, (12 July 2000); doi: 10.1117/12.391892
Show Author Affiliations
Mahmood R. Azimi-Sadjadi, Colorado State Univ. (United States)
Stewart Glegg, Florida Atlantic Univ. (United States)
Manu Dufour, Florida Atlantic Univ. (United States)


Published in SPIE Proceedings Vol. 4039:
Information Systems for Divers and Autonomous Underwater Vehicles Operating in Very Shallow Water and Surf Zone Regions II
Jody L. Wood-Putnam, Editor(s)

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