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Proceedings Paper

Integration of launch/impact discrimination algorithm with the UTAMS platform
Author(s): Sachi Desai; Amir Morcos; Stephen Tenney; Brian Mays
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Paper Abstract

An acoustic array, integrated with an algorithm to discriminate potential Launch (LA) or Impact (IM) events, was augmented by employing the Launch Impact Discrimination (LID) algorithm for mortar events. We develop an added situational awareness capability to determine whether the localized event is a mortar launch or mortar impact at safe standoff distances. The algorithm utilizes a discrete wavelet transform to exploit higher harmonic components of various sub bands of the acoustic signature. Additional features are extracted via the frequency domain exploiting harmonic components generated by the nature of event, i.e. supersonic shrapnel components at impact. The further extrapolations of these features are employed with a neural network to provide a high level of confidence for discrimination and classification. The ability to discriminate between these events is of great interest on the battlefield. Providing more information and developing a common picture of situational awareness. Algorithms exploit the acoustic sensor array to provide detection and identification of IM/LA events at extended ranges. The integration of this algorithm with the acoustic sensor array for mortar detection provides an early warning detection system giving greater battlefield information for field commanders. This paper will describe the integration of the algorithm with a candidate sensor and resulting field tests.

Paper Details

Date Published: 16 April 2008
PDF: 11 pages
Proc. SPIE 6943, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII, 69431A (16 April 2008); doi: 10.1117/12.777938
Show Author Affiliations
Sachi Desai, US Army RDECOM ARDEC (United States)
Amir Morcos, US Army RDECOM ARDEC (United States)
Stephen Tenney, US Army RDECOM ARL (United States)
Brian Mays, US Army RDECOM ARL (United States)


Published in SPIE Proceedings Vol. 6943:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII
Edward M. Carapezza, Editor(s)

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