Deep belief networks based radar signal classification system
Deep belief networks based radar signal classification system
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
A threat library is used in most of the existing electronic warfare systems to identify or execute jamming against various radar signals. The conventional method uses frequency, pulse repetition interval, and pulse width sampled from the pulse description word column as characteristics of a signal. Such sampling technique cannot effectively model e...
Alternative Titles
Full title
Deep belief networks based radar signal classification system
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2933288208
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2933288208
Other Identifiers
ISSN
1868-5137
E-ISSN
1868-5145
DOI
10.1007/s12652-018-0774-7
