An optimum RBF network for signal detection in non-gaussian noise

Authors:
D. G. Khairnar;S. N. Merchant;U. B. Desai
Affiliations:
SPANN Laboratory, Dept. of Electrical Engg, I.I.T. Bombay, India;SPANN Laboratory, Dept. of Electrical Engg, I.I.T. Bombay, India;SPANN Laboratory, Dept. of Electrical Engg, I.I.T. Bombay, India
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

Citing 3
Cited 0

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Abstract

In this paper, we propose a radial basis function (RBF) neural network for detecting a known signal in the presence of non-Gaussian and Gaussian noise. In case of non-Gaussian noise, our study shows that RBF signal detector has significant improvement in performance characteristics; detection capability is better to those obtained with multilayer perceptrons (MLP) and the matched filter (MF) detector.