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A CFAR-Enhanced Spectral Whitening Method for Acoustic Sensing via UAVs

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada
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Received: 2 December 2017 / Revised: 20 December 2017 / Accepted: 20 December 2017 / Published: 22 December 2017
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Abstract

The following paper addresses the issue of performing CFAR detection on signals with colored noise distributions, such as that found when performing acoustic sensing via UAVs. With respect to the outlined considerations, a CFAR-enhanced spectral whitening method is proposed to maintain detector functionality without inhibiting detection sensitivity. The performance of the method is also demonstrated using acoustic data taken from experiments involving a fixed-wing UAV. From the results obtained, it is evident the approach performs significantly better than standard techniques such as inverse spectral whitening, which tend to attenuate acquired target source components. View Full-Text
Keywords: spectral whitening; constant false alarm rate (CFAR); acoustic sensing spectral whitening; constant false alarm rate (CFAR); acoustic sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Harvey, B.; O’Young, S. A CFAR-Enhanced Spectral Whitening Method for Acoustic Sensing via UAVs. Drones 2018, 2, 1.

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