National Acoustic Laboratories Library

Time delay estimation of acoustic tones under low SNR conditions

By: Franklin, StephenMaterial type: TextTextOnline resources: Click here to access online In: Acoustics 2015 Hunter ValleyAbstract: This paper describes a novel approach for autonomously detecting and tracking aircraft in the vicinity of an unmanned aerial vehicle (UAV). The time difference of arrival (TDOA) of acoustic tones originating from distant aircraft are correlated between spatially distributed microphone pairs located onboard the UAV. The geometry of multiple microphone pairs then allows the elevation and azimuth of the approaching aircraft to be estimated, despite the high levels of narrow- and broadband noise emanating from the engine firing sequence, propeller, airflow over the microphones and mechanical vibration. The technique enables estimation of the signal at levels 20 dB below the broadband noise floor. Potential detection ranges in excess of 1 km are demonstrated when the signal processing is combined with careful suppression of the many noise sources onboard the UAV.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

This paper describes a novel approach for autonomously detecting and tracking aircraft in the vicinity of an unmanned aerial vehicle (UAV). The time difference of arrival (TDOA) of acoustic tones originating from distant aircraft are correlated between spatially distributed microphone pairs located onboard the UAV. The geometry of multiple microphone pairs then allows the elevation and azimuth of the approaching aircraft to be estimated, despite the high levels of narrow- and broadband noise emanating from the engine firing sequence, propeller, airflow over the microphones and mechanical vibration. The technique enables estimation of the signal at levels 20 dB below the broadband noise floor. Potential detection ranges in excess of 1 km are demonstrated when the signal processing is combined with careful suppression of the many noise sources onboard the UAV.

Powered by Koha