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6 April 1995 Feature extraction and classification of radar targets using neural networks
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Doraisamy Nandagopal, M. Palaniswami, N. M. Martin, and T. Morgan "Feature extraction and classification of radar targets using neural networks", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995);


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