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Proceedings Paper

Helicopter and aircraft detection and classification using adaptive beamforming and tracking techniques
Author(s): Antonius C. van Koersel; S. P. Beerens
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Paper Abstract

Measurements of different types of aircraft are performed and used to obtain information on target characteristics and develop an algorithm to perform classification between jet aircraft, propeller aircraft and helicopters. To obtain a larger detection range, reduce background noise and to reduce classification errors in a multi-target environment, a real time adaptive beamformer algorithm is developed for a three microphone array. The output of the beamformer is submitted to a tracking algorithm. Acoustic signals from identified tracks are submitted to the classification algorithms. The algorithm is tested on data recorded during various field trials. The objective of the research, which is part of a research program for the Dutch Army, is to detect the passage of an aircraft with one or more mechanical wave sensors, either acoustic or seismic. After detection of a target, classification of the type of aircraft is requested (for example: helicopter-jet-propeller-rpv). If possible type identification is also requested. Earlier work showed promising results for detection and classification of helicopter targets. The projects resulted in an algorithm that can detect and classify helicopters, but it was developed to reject other targets. The chosen approach is to combine new aircraft detection and beamforming algorithms with the existing algorithms.

Paper Details

Date Published: 7 August 2002
PDF: 10 pages
Proc. SPIE 4743, Unattended Ground Sensor Technologies and Applications IV, (7 August 2002); doi: 10.1117/12.443531
Show Author Affiliations
Antonius C. van Koersel, TNO (Netherlands)
S. P. Beerens, TNO (Netherlands)

Published in SPIE Proceedings Vol. 4743:
Unattended Ground Sensor Technologies and Applications IV
Edward M. Carapezza, Editor(s)

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