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Proceedings Paper

Feature extraction and classification of radar targets using neural networks
Author(s): Doraisamy Nandagopal; M. Palaniswami; N. M. Martin; T. Morgan
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Paper Abstract

In signal processing, artificial neural networks (ANN) have been found to be very useful in solving pattern recognition and classification problems. In this application, the performance of ANNs depends, to a large extent, on the quality of features extracted from the given signal. The features, most often, are extracted using conventional signal processing techniques. In this paper, the feature extraction of radar returns is carried out through the use of neural networks and the final recognition of radar targets is carried out by a second stage neural network. Thus feature extraction and classification of experimental radar targets using feed forward and self organizing neural networks are demonstrated.

Paper Details

Date Published: 6 April 1995
PDF: 7 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205143
Show Author Affiliations
Doraisamy Nandagopal, Defence Science and Technology Organisation (Australia)
M. Palaniswami, Univ. of Melbourne (Australia)
N. M. Martin, Defence Science and Technology Organisation (Australia)
T. Morgan, Univ. of Melbourne (Australia)

Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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