Acoustic signature of an unmanned air vehicle exploitation for aircraft localisation and parameter estimation
Keywords: Signal processing, Acoustic signature, Acoustic spectrogram, Target recognition, Unmanned air vehicle
Abstract"Higher harmonics in the acoustic spectrogram of an unmanned air vehicle in-flight; as obtained from a ground-based microphone measurement, is shown to be useful for estimating the vehicle's altitude, speed and true engine revolutions per minute. Specifically, the Doppler-shifted frequency time histories derived from spectrogram contours are used in this estimation approach which is based on a least mean square error fit to an Instantaneous frequency model proposed In the literature. Benefits of employing higher harmonics -rather than the fundamental only -in the computations are brought out. The results obtained are satisfactory. A possible system configuration for automatic detection and localisation of similar aircraft is briefly discussed here.
How to Cite
Sadasivan, S., Gurubasavaraj, M., & Sekar, S. (2002). Acoustic signature of an unmanned air vehicle exploitation for aircraft localisation and parameter estimation. Defence Science Journal, 51(3), 279-284. https://doi.org/10.14429/dsj.51.2238
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