An Optimum RBF Network for Signal Detection in Non-Gaussian Noise

  • D. G. Khairnar
  • S. N. Merchant
  • U. B. Desai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

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.

Keywords

Radial Basis Function Signal Detection Radial Basis Function Neural Network Radial Basis Function Network Matched Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • D. G. Khairnar
    • 1
  • S. N. Merchant
    • 1
  • U. B. Desai
    • 1
  1. 1.SPANN Laboratory, Dept. of Electrical EnggI.I.T. BombayIndia

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