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Proceedings Paper

Battlefield decision aid for acoustical ground sensors with interface to meteorological data sources
Author(s): D. Keith Wilson; John M. Noble; Bruce H. VanAartsen; Gregory L. Szeto
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Paper Abstract

The performance of acoustical ground sensors depends heavily on the local atmospheric and terrain conditions. This paper describes a prototype physics-based decision aid, called the Acoustic Battlefield Aid (ABFA), for predicting these environ-mental effects. ABFA integrates advanced models for acoustic propagation, atmospheric structure, and array signal process-ing into a convenient graphical user interface. The propagation calculations are performed in the frequency domain on user-definable target spectra. The solution method involves a parabolic approximation to the wave equation combined with a ter-rain diffraction model. Sensor performance is characterized with Cramer-Rao lower bounds (CRLBs). The CRLB calcula-tions include randomization of signal energy and wavefront orientation resulting from atmospheric turbulence. Available performance characterizations include signal-to-noise ratio, probability of detection, direction-finding accuracy for isolated receiving arrays, and location-finding accuracy for networked receiving arrays. A suite of integrated tools allows users to create new target descriptions from standard digitized audio files and to design new sensor array layouts. These tools option-ally interface with the ARL Database/Automatic Target Recognition (ATR) Laboratory, providing access to an extensive library of target signatures. ABFA also includes a Java-based capability for network access of near real-time data from sur-face weather stations or forecasts from the Army's Integrated Meteorological System. As an example, the detection footprint of an acoustical sensor, as it evolves over a 13-hour period, is calculated.

Paper Details

Date Published: 29 August 2001
PDF: 12 pages
Proc. SPIE 4396, Battlespace Digitization and Network-Centric Warfare, (29 August 2001); doi: 10.1117/12.438319
Show Author Affiliations
D. Keith Wilson, Army Research Lab. (United States)
John M. Noble, Army Research Lab. (United States)
Bruce H. VanAartsen, Litton/TASC (United States)
Gregory L. Szeto, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 4396:
Battlespace Digitization and Network-Centric Warfare
Raja Suresh, Editor(s)

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