Automatic Modulation Classification of LFM and Polyphase-coded Radar Signals
dc.contributor.author | Hanbali, Samer Baher Safa | |
dc.contributor.author | Kastantin, Radwan | |
dc.coverage.issue | 4 | cs |
dc.coverage.volume | 26 | cs |
dc.date.accessioned | 2018-06-18T10:29:50Z | |
dc.date.available | 2018-06-18T10:29:50Z | |
dc.date.issued | 2017-12 | cs |
dc.description.abstract | There are several techniques for detecting and classifying low probability of intercept radar signals such as Wigner distribution, Choi-Williams distribution and time-frequency rate distribution, but these distributions require high SNR. To overcome this problem, we propose a new technique for detecting and classifying linear frequency modulation signal and polyphase coded signals using optimum fractional Fourier transform at low SNR. The theoretical analysis and simulation experiments demonstrate the validity and efficiency of the proposed method. | en |
dc.format | text | cs |
dc.format.extent | 1118-1125 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Radioengineering. 2017 vol. 26, č. 4, s. 1118-1125. ISSN 1210-2512 | cs |
dc.identifier.doi | 10.13164/re.2017.1118 | en |
dc.identifier.issn | 1210-2512 | |
dc.identifier.uri | http://hdl.handle.net/11012/82943 | |
dc.language.iso | en | cs |
dc.publisher | Společnost pro radioelektronické inženýrství | cs |
dc.relation.ispartof | Radioengineering | cs |
dc.relation.uri | http://www.radioeng.cz/fulltexts/2017/17_01_1118_1125.pdf | cs |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.access | openAccess | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | LFM | en |
dc.subject | polyphase coded signals | en |
dc.subject | detection | en |
dc.subject | automatic classification | en |
dc.title | Automatic Modulation Classification of LFM and Polyphase-coded Radar Signals | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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