Convolutional Neural Networks for Radar Detection

Authors:
Gustavo López-Risueño;Jesús Grajal;Simon Haykin;Rosa Díaz-Oliver
Affiliations:
-;-;-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

Citing 3
Cited 0

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Abstract

The use of convolutional neural networks (CNN's) for radar detection is evaluated. The detector includes a time-frequency block that has been implemented by the Wigner-Ville distribution and the Short-Time Fourier Transform to test the suitability of both techniques. The CNN detectors are compared with the classic multilayer perceptron and with several traditional non-neural detectors. Preliminary results are shown using non-correlated and correlated Rayleigh-envelope clutter.