000			nam a22 7a 4500
999			_c2670 _d2670
003			OSt
005			20161220153947.0
008			161220b xxu||||| |||| 00| 0 eng d
040			_cNational Acoustics Laboratories
100			_aFinn, Anthoney
245			_aAn Analysis of Unmanned Aerial Vehicle-Based Acoustic Atmospheric Tomography
520	3		_aThe engine of an unmanned aerial vehicle generates acoustic energy comprising multiple prominent narrowband tones superimposed onto a broadband background. This signature may be synchronously observed both onboard the aircraft and by a set of microphones on the ground. Comparison of the projected and observed signals allows computation of atmospheric sound speed values for a set of intersecting rays. Tomography may then be used to estimate spatially varying temperature and wind velocity profiles of the intervening medium. Errors in these atmospheric reconstructions are a function of several factors, which include: refraction, multi-path, atmospheric turbulence, position and velocity errors, instrumental errors in the measurement of the signals, and statistical uncertainty in processing techniques used to perform the signature comparisons. Vertical cross-sections of weakly-sheared daytime convective atmospheric boundary layers, created using large eddy simulation code, are combined with error models of the geometry, propagation and instruments to determine levels of inaccuracy that can be tolerated for faithful reconstruction of target atmospheres
700			_aKevin J Rogers
773	0		_tAcoustics 2016 [9-11 November 2016: Brisbane, Australia] _gConference paper
856			_uhttp://dspace.nal.gov.au/xmlui/bitstream/handle/123456789/534/p24.pdf?sequence=1&isAllowed=y
942			_2udc _cARTICLE