Neural network-based radar signal classification system using probability moment and ApEn
Neural network-based radar signal classification system using probability moment and ApEn
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Most of the existing electronic warfare systems use a threat library to identify radar signals. In this paper, new feature parameters for classifying various types of radar signals are introduced. The conventional method uses frequency, pulse repetition interval and pulse width sampled from the pulse description word column as characteristics of a...
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Full title
Neural network-based radar signal classification system using probability moment and ApEn
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TN_cdi_proquest_journals_2917932826
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917932826
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ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-017-2711-7
