期刊
DIGITAL SIGNAL PROCESSING
卷 14, 期 5, 页码 438-448出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2004.06.002
关键词
backpropagation algorithm; Bayesian regularization; multi-layered feedforward neural network; pulse compression
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 Elsevier Inc. All rights reserved.
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