Feature extraction and classification of radar targets using neural networks

Doraisamy Nandagopal; M. Palaniswami; N. M. Martin; T. Morgan

doi:10.1117/12.205143

6 April 1995 Feature extraction and classification of radar targets using neural networks

Doraisamy Nandagopal, M. Palaniswami, N. M. Martin, T. Morgan

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205143
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.205143

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KEYWORDS

Neurons

Radar

Feature extraction

Neural networks

Signal processing

Doppler effect

Network architectures

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