DocumentCode :
2413488
Title :
Flight parameter identification from cepstrum tracks
Author :
Gao, Yuan ; Pulford, G. ; Sendt, J. ; Maguer, A.
Author_Institution :
Thales Underwater Syst. P/L, Rydalmere, NSW, Australia
fYear :
2002
fDate :
11-13 Feb. 2002
Firstpage :
371
Lastpage :
375
Abstract :
By using a single microphone located above the ground, it is possible to determine the flight parameters of an aircraft fly-over. This technique utilises the asymmetry of the Lloyds mirror rings (LMR) that have been converted into a primary rahmonic in the cepstrogram of the acoustic data. Unlike previous techniques, the spectrogram is not needed. The cepstrum data are automatically processed by a hidden Markov model tracker that provides input to the flight parameter estimation stage. The Levenberg-Marquardt optimisation procedure is then applied to derive the aircraft speed along with the time, horizontal distance and height of the closest point of approach. Reliable cepstrogram estimates are obtainable when at least three LMR´s are present in the spectrogram data.
Keywords :
Markov processes; acoustic signal processing; aircraft; cepstral analysis; microphones; parameter estimation; Levenberg-Marquardt optimisation; Lloyds mirror rings; above-ground sensor; acoustic data; aircraft fly-over; aircraft speed; cepstrogram; cepstrum data; cepstrum tracks; flight parameter estimation; flight parameter identification; flight parameters; height; hidden Markov model tracker; horizontal distance; microphone; primary rahmonic; signal processing; source-sensor geometry; spectrogram; Aircraft; Australia; Cepstrum; Hidden Markov models; Humans; Microphones; Mirrors; Parameter estimation; Skin; Underwater tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 2002. Final Program and Abstracts
Conference_Location :
Adelaide, SA, Australia
Print_ISBN :
0-7803-7270-0
Type :
conf
DOI :
10.1109/IDC.2002.995436
Filename :
995436
Link To Document :
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