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Parametric Models For Helicopter Identification Using ANN

Elshafei, M. and Ahmed, MS and Akhtar, S. Parametric Models For Helicopter Identification Using ANN. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 36. pp. 1242-1252.

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Official URL: http://isi.kfupm.edu.sa/journals/pdf/P/parametric_...

Abstract

An artificial neural network (ANN) based helicopter identification system is proposed. The feature vectors are based on both the tonal and the broadband spectrum of the helicopter signal. ANN pattern classifiers are trained using various parametric spectral representation techniques. Specifically, linear prediction, reflection coefficients, cepstrum, and line spectral frequencies (LSF) are compared in terms of recognition accuracy and robustness against additive noise. Finally, an 8-helicopter ANN classifier is evaluated, It is also shown that the classifier performance is dramatically improved if it is trained using both clean data and data corrupted with additive noise.



Item Type:Article
Date Type:Publication
Subjects:Systems
Divisions:College Of Computer Sciences and Engineering > Systems Engineering Dept
Creators:Elshafei, M. and Ahmed, MS and Akhtar, S.
Email:elshafei@kfupm.edu.sa, UNSPECIFIED, UNSPECIFIED
ID Code:2450
Deposited By:MR. ATIQ WALIULLAH SIDDIQUI
Deposited On:14 Jun 2008 16:16
Last Modified:12 Apr 2011 13:13

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