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Improving performance in pulse radar detection using Bayesian regularization for neural network training

DSpace at IIT Bombay

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Title Improving performance in pulse radar detection using Bayesian regularization for neural network training
 
Creator KUMAR, P
MERCHANT, SN
DESAI, UB
 
Subject backpropagation algorithm
bayesian regularization
multi-layered feedforward neural network
pulse compression
 
Description A better approach for training a multi-layered feedforward network for pulse compression is presented. The Bayesian regularization technique used for training the network for pulse radar detection results in superior performance in terms of signal-to-sidelobe ratio compared to the Backpropagation algorithm. The presented method also has better range resolution performance in terms of resistance to lower input code magnitude ratios. 13-bit Barker code, 31-bit m-sequence and 63-bit m-sequence are used as the signal codes. (C) 2004
 
Publisher ACADEMIC PRESS INC ELSEVIER SCIENCE
 
Date 2011-07-12T15:27:41Z
2011-12-26T12:48:57Z
2011-12-27T05:34:30Z
2011-07-12T15:27:41Z
2011-12-26T12:48:57Z
2011-12-27T05:34:30Z
2004
 
Type Article
 
Identifier DIGITAL SIGNAL PROCESSING, 14(5), 438-448
1051-2004
http://dx.doi.org/10.1016/j.dsp.2004.06.002
http://dspace.library.iitb.ac.in/xmlui/handle/10054/3366
http://hdl.handle.net/10054/3366
 
Language en