Method of detection, classification, and identification of objects employing acoustic signal analysis

Tomasz Orzanowski; Henryk Madura; Tomasz Sosnowski; Krzysztof Chmielewski

doi:10.1117/12.800153

16 October 2008 Method of detection, classification, and identification of objects employing acoustic signal analysis

Tomasz Orzanowski, Henryk Madura, Tomasz Sosnowski, Krzysztof Chmielewski

Proceedings Volume 7112, Unmanned/Unattended Sensors and Sensor Networks V; 71120U (2008) https://doi.org/10.1117/12.800153
Event: SPIE Security + Defence, 2008, Cardiff, Wales, United Kingdom

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.

Citation Download Citation

Tomasz Orzanowski, Henryk Madura, Tomasz Sosnowski, and Krzysztof Chmielewski "Method of detection, classification, and identification of objects employing acoustic signal analysis", Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 71120U (16 October 2008); https://doi.org/10.1117/12.800153

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