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Aircraft Parameter Estimation based on Passive Acoustic TechniquesUsing the Polynomial Wigner-Ville Distribution

Reid, David C. and Zoubir, Abdelhak M. and Boashash, Boualem (1997):
Aircraft Parameter Estimation based on Passive Acoustic TechniquesUsing the Polynomial Wigner-Ville Distribution.
In: Journal of the Acoustical Society of America, Acoustical Society of America (ASA), pp. 207-223, 102, (1), ISSN 0001-4966,
[Article]

Abstract

The acoustic signal from an overflying aircraft, as heard by a stationary observer, is used to estimate an aircraft’s constant height, ground speed, range, and acoustic frequency. Central to the success of this flight parameter estimation scheme is the need for an accurate estimate of the instantaneous frequency of the observed acoustic signal. In this paper, the polynomial Wigner–Ville distribution is used in this application as the instantaneous frequency estimator. Its performance and the issue of the optimal time domain window length are addressed.

Item Type: Article
Erschienen: 1997
Creators: Reid, David C. and Zoubir, Abdelhak M. and Boashash, Boualem
Title: Aircraft Parameter Estimation based on Passive Acoustic TechniquesUsing the Polynomial Wigner-Ville Distribution
Language: English
Abstract:

The acoustic signal from an overflying aircraft, as heard by a stationary observer, is used to estimate an aircraft’s constant height, ground speed, range, and acoustic frequency. Central to the success of this flight parameter estimation scheme is the need for an accurate estimate of the instantaneous frequency of the observed acoustic signal. In this paper, the polynomial Wigner–Ville distribution is used in this application as the instantaneous frequency estimator. Its performance and the issue of the optimal time domain window length are addressed.

Journal or Publication Title: Journal of the Acoustical Society of America
Volume: 102
Number: 1
Publisher: Acoustical Society of America (ASA)
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing
Date Deposited: 09 Oct 2014 14:29
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