DocumentCode :
1164654
Title :
Aircraft flight parameter estimation using acoustic multipath delays
Author :
Lo, Kam W. ; Ferguson, Brian G. ; Gao, Yujin ; Maguer, A.
Author_Institution :
Defence Sci. & Technol. Organ., Pyrmont, NSW, Australia
Volume :
39
Issue :
1
fYear :
2003
Firstpage :
259
Lastpage :
268
Abstract :
The signal emitted by an airborne acoustic source arrives at a stationary sensor located above a flat ground via a direct path and a ground-reflected path. The difference in the times of arrival of the direct path and ground-reflected path signal components, referred to as the multipath delay, provides an instantaneous estimate of the elevation angle of the source. A model is developed to predict the variation with time of the multipath delay for a jet aircraft or other broadband acoustic source in level flight with constant velocity over a hard ground. Based on this model, two methods are formulated to estimate the speed and altitude of the aircraft Both methods require the estimation of the multipath delay as a function of time. The methods differ only in the way the multipath delay is estimated; the first method uses the autocorrelation function, and the second uses the cepstrum, of the sensor output over a short time interval. The performances of both methods are evaluated and compared using real acoustic data. The second method provides the most precise aircraft speed and altitude estimates as compared with the first and two other existing methods.
Keywords :
acoustic applications; acoustic signal processing; aircraft; cepstral analysis; correlation methods; delay estimation; parameter estimation; acoustic multipath delays; airborne acoustic source; aircraft flight parameter estimation; altitude estimation; autocorrelation function; broadband acoustic source; cepstrum; jet aircraft; model; speed estimation; stationary sensor; times of arrival difference; Acoustic emission; Acoustic sensors; Aircraft; Autocorrelation; Cepstrum; Delay effects; Delay estimation; Parameter estimation; Performance evaluation; Predictive models;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2003.1188908
Filename :
1188908
Link To Document :
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