Performance of radar target recognition schemes using neural networks-a comparative study
Dhandapani Nandagopal, N.M. Martin, R.P. Johnson, Peter Lozo, Marimuthu Swami Palaniswami · 2002
Doppler signatures of experimental radar targets have been obtained and processed using conventional signal processing techniques to extract characteristic features. Radar target recognition using adaptive resonance theory, learning vector quantiser, feedforward, and probabilistic neural networks has been attempted. The performance characteristics of the above neural architectures in classifying the experimental radar targets are discussed and the results of a comparative study presented.>