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Proceedings Paper

Comparison of the TACOM acoustic-detection-range prediction model and the UK Dstl acoustic prediction propagation model
Author(s): Victoria Nunney; Robert Mantey; James Crile
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Paper Abstract

Acoustic signatures are being exploited more and more by new technology in the battlefield as a way of detecting and identifying potential targets. An understanding of the way in which the acoustic signature of a land platform propagates through the atmosphere enables one to target suppression techniques to those acoustic sources on the vehicle that will provide the greatest military benefit in terms of reducing the detection range of the platform. Dstl Chertsey (UK) and TACOM (US) have developed acoustic propagation models which can predict the far-field sound pressure levels (SPLs) and associated detection ranges of land platforms under a variety of meteorological conditions over different terrain types. The Acoustic Prediction Propagation Model (APPM), UK) and Acoustic Detection Range Prediction Model (ADRPM, US) have previously been compared and have been found to produce similar results for simple scenarios. With recent developments in both models, this comparison has been carried out again, looking at the introduction of Fast-Field Programs (FFP) to both models and, in more detail, the differences between the results at certain frequencies. This paper represents the results found from this comparison study, showing the differences, similarities and potential of these models for the future.

Paper Details

Date Published: 6 August 2002
PDF: 12 pages
Proc. SPIE 4718, Targets and Backgrounds VIII: Characterization and Representation, (6 August 2002); doi: 10.1117/12.478799
Show Author Affiliations
Victoria Nunney, Defence Science and Technology Lab. Chersey (United Kingdom)
Robert Mantey, U.S. Army Tank-Automotive and Armament Command (United States)
James Crile, U.S. Army Tank-Automotive and Armament Command (United States)

Published in SPIE Proceedings Vol. 4718:
Targets and Backgrounds VIII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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