DocumentCode :
2412681
Title :
A system for automatic classification of aircraft flyovers using acoustic data
Author :
Sendt, J. ; Pulford, G. ; Yujin Gao ; Maguer, A.
Author_Institution :
Thales Underwater Syst. P/L, Rydalmere, NSW, Australia
fYear :
2002
fDate :
11-13 Feb. 2002
Firstpage :
169
Lastpage :
174
Abstract :
An overview of a system for the automatic classification of aircraft from flyover data is presented. The system is passive, utilising acoustic sensors to measure both broadband and narrowband energy. Aspects of the system architecture, sensor design and signal processing are covered. The processing is divided into three streams: broadband, narrowband and cepstrum. Each processing stream is capable of extracting flight parameter estimates from the acoustic data. Broadband estimation is based on the time-delay cross correlation of signals from multiple sensors. Narrowband estimation makes use of the spectrogram of the data to extract frequency lines produced by the aircraft and subject to the acoustical Doppler effect. Cepstrum processing tracks the primary rahmonic in the cepstrogram due to multipath interference. A novel hidden Markov model tracking technique is applied to form tracks on the noisy spectrogram and cepstrogram data. Examples of real data processing and flight parameter estimates for classification are given.
Keywords :
Doppler effect; acoustic signal processing; aircraft; correlation methods; delays; object recognition; parameter estimation; pattern recognition; spectral analysis; acoustic data; acoustic sensors; acoustical Doppler effect; aircraft flyover classification; automatic classification; broadband energy measurement; broadband estimation; cepstrum processing; frequency line extraction; hidden Markov model tracking technique; multipath interference; multiple sensors; narrowband energy measurement; narrowband estimation; primary rahmonic; sensor design; signal processing; spectrogram; system architecture; time-delay cross correlation; Acoustic measurements; Acoustic sensors; Aircraft; Cepstrum; Data mining; Energy measurement; Frequency estimation; Narrowband; Parameter estimation; Spectrogram;
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.2002.995387
Filename :
995387
Link To Document :
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