Translator Disclaimer
6 April 1995 Feature extraction and classification of radar targets using neural networks
Author Affiliations +
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.
© (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); https://doi.org/10.1117/12.205143
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Survey of radar-based target recognition techniques
Proceedings of SPIE (August 01 1991)
Neural networks for sensor data fusion
Proceedings of SPIE (September 03 1993)
Neural Network Signal Processor (NSP)
Proceedings of SPIE (April 20 1988)
Target classification using radar data: a comparative study
Proceedings of SPIE (September 16 1992)

Back to Top