Classification of atmospheric acoustic signals from fixed-wing aircraft

Clayton V. Stewart; Victor J. Larson; David Zink

doi:10.1117/12.138218

9 July 1992 Classification of atmospheric acoustic signals from fixed-wing aircraft

Clayton V. Stewart, Victor J. Larson, David Zink

Proceedings Volume 1699, Signal Processing, Sensor Fusion, and Target Recognition; (1992) https://doi.org/10.1117/12.138218
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Clayton V. Stewart, Victor J. Larson, and David Zink "Classification of atmospheric acoustic signals from fixed-wing aircraft", Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); https://doi.org/10.1117/12.138218

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