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Proceedings Paper

Method of detection, classification, and identification of objects employing acoustic signal analysis
Author(s): Tomasz Orzanowski; Henryk Madura; Tomasz Sosnowski; Krzysztof Chmielewski
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Paper Abstract

The methods of detection and identification of objects based on acoustic signal analysis are used in many applications, e.g., alarm systems, military battlefield reconnaissance systems, intelligent ammunition, and others. The construction of technical objects such as vehicle or helicopter gives some possibilities to identify them on the basis of acoustic signals generated by those objects. In this paper a method of automatic detection, classification and identification of military vehicles and helicopters using a digital analysis of acoustic signals is presented. The method offers a relatively high probability of object detection in attendance of other disturbing acoustic signals. Moreover, it provides low probability of false classification and identification of object. The application of this method to acoustic sensor for the anti-helicopter mine is also presented.

Paper Details

Date Published: 16 October 2008
PDF: 10 pages
Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 71120U (16 October 2008); doi: 10.1117/12.800153
Show Author Affiliations
Tomasz Orzanowski, Military Univ. of Technology (Poland)
Henryk Madura, Military Univ. of Technology (Poland)
Tomasz Sosnowski, Military Univ. of Technology (Poland)
Krzysztof Chmielewski, Military Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 7112:
Unmanned/Unattended Sensors and Sensor Networks V
Edward M. Carapezza, Editor(s)

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