Next Article in Journal
UAVs in Context: Archaeological Airborne Recording in a National Body of Survey and Record
Previous Article in Journal
Analysis of Autonomous Unmanned Aerial Systems Based on Operational Scenarios Using Value Modelling
Open AccessArticle

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
*
Author to whom correspondence should be addressed.
Received: 2 December 2017 / Revised: 20 December 2017 / Accepted: 20 December 2017 / Published: 22 December 2017
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
Show Figures

Figure 1

MDPI and ACS Style

Harvey, B.; O’Young, S. A CFAR-Enhanced Spectral Whitening Method for Acoustic Sensing via UAVs. Drones 2018, 2, 1.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop