Wavelet-based acoustic recognition of aircraft

William B. Dress; Stephen W. Kercel

doi:10.1117/12.170076

15 March 1994 Wavelet-based acoustic recognition of aircraft

William B. Dress, Stephen W. Kercel

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170076
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

We describe a wavelet-based technique for identifying aircraft from acoustic emissions during takeoff and landing. Tests show that the sensor can be a single, inexpensive hearing-aid microphone placed close to the ground. The paper describes data collection, analysis by various techniques, methods of event classification, and extraction of certain physical parameters from wavelet subspace projections. The primary goal of this paper is to show that wavelet analysis can be used as a divide-and- conquer first step in signal processing, providing simplification and noise filtering. The idea is to project the original signal onto the orthogonal wavelet subspaces, both details and approximations. Subsequent analysis, such as system identification, nonlinear systems analysis, and feature extraction, is then carried out on the various signal subspaces.

Citation Download Citation

William B. Dress and Stephen W. Kercel "Wavelet-based acoustic recognition of aircraft", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170076

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