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Proceedings Paper

Classification of atmospheric acoustic signals from fixed-wing aircraft
Author(s): Clayton V. Stewart; Victor J. Larson; David Zink
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Paper Abstract

This paper presents analysis on the ability to classify fixed-wing aircraft based on their acoustic signatures. Since only a small amount of data was available, the paper focuses on feature extraction. We analyzed a data set for a single propellor and a single jet aircraft. Both spectral and cepstral analyses were performed on the data. Both nonparametric and parametric methods were used to estimate the power spectrum. For the propellor aircraft, the frequency ratio between spectral lines was found to be a useful feature for classification. The cepstrum of both the propellor and jet aircraft acoustic data were found to contain features related to engine rotation rates.

Paper Details

Date Published: 9 July 1992
PDF: 8 pages
Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); doi: 10.1117/12.138218
Show Author Affiliations
Clayton V. Stewart, George Mason Univ. (United States)
Victor J. Larson, George Mason Univ. (United States)
David Zink, TASC (United States)


Published in SPIE Proceedings Vol. 1699:
Signal Processing, Sensor Fusion, and Target Recognition
Vibeke Libby; Ivan Kadar, Editor(s)

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