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A neural solution for signal detection in non-gaussian noise

DSpace at IIT Bombay

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Title A neural solution for signal detection in non-gaussian noise
 
Creator KHAIRNAR, DG
MERCHANT, SN
DESAI, UB
 
Subject gaussian noise
radial basis function networks
signal detection
 
Description In this paper, we suggest a neural network signal detector using radial basis function network for detecting a known signal in presence of Gaussian and non-Gaussian noise. We employ this RBF neural detector to detect the presence or absence of a known signal corrupted by different Gaussian and non-Gaussian noise components. In case of non-Gaussian noise, computer simulation results show that RBF network signal detector has significant improvement in performance characteristics. Detection capability is better than to those obtained with multilayer perceptrons and optimum matched filter detector.
 
Publisher IEEE
 
Date 2008-12-19T10:51:48Z
2011-11-27T20:59:16Z
2011-12-15T09:56:22Z
2008-12-19T10:51:48Z
2011-11-27T20:59:16Z
2011-12-15T09:56:22Z
2007
 
Type Article
 
Identifier Proceedings of the Fourth International Conference on Information Technology, Las Vegas, USA, 2-4 April 2007, 1-5
0-7695-2776-0
10.1109/ITNG.2007.11
http://hdl.handle.net/10054/416
http://dspace.library.iitb.ac.in/xmlui/handle/10054/416
 
Language en