A Wavelet-Based Feature Set for Recognizing Pulse Repetition Interval Modulation Patterns

dc.contributor.author Gençol, Kenan
dc.contributor.author At, Nuray
dc.contributor.author Kara, Alı
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-10-06T11:32:01Z
dc.date.available 2024-10-06T11:32:01Z
dc.date.issued 2016
dc.department Atılım University en_US
dc.department-temp ATILIM ÜNİVERSİTESİ,ANADOLU ÜNİVERSİTESİ,ATILIM ÜNİVERSİTESİ en_US
dc.description.abstract This paper presents a new feature set for the problem of recognizing pulse repetition interval (PRI) modulation patterns. The recognition is based upon the features extracted from the multiresolution decomposition of different types of PRI modulated sequences. Special emphasis is placed on the recognition of jittered and stagger type PRI sequences due to the fact that these types of PRI sequences appear predominantly in modern electronic warfare environments for some specific mission requirements and recognition of them is heavily based on histogram features. We test our method with a broad range of PRI modulation parameters. Simulation results show that the proposed feature set is highly robust and separates jittered, stagger, and other modulation patterns very well. Especially for the stagger type of PRI sequences, wavelet-based features outperform conventional histogram-based features. Advantages of the proposed feature set along with its robustness criteria are analyzed in detail. en_US
dc.identifier.citationcount 3
dc.identifier.endpage 3090 en_US
dc.identifier.issn 1300-0632
dc.identifier.issn 1300-0632
dc.identifier.issue 4 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 3078 en_US
dc.identifier.trdizinid 246444
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/246444/a-wavelet-based-feature-set-for-recognizing-pulse-repetition-interval-modulation-patterns
dc.identifier.uri https://hdl.handle.net/20.500.14411/9861
dc.identifier.volume 24 en_US
dc.identifier.wosquality Q4
dc.institutionauthor Gençol, Kenan
dc.language.iso en en_US
dc.relation.ispartof Turkish Journal of Electrical Engineering and Computer Sciences en_US
dc.relation.publicationcategory Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Mühendislik en_US
dc.subject Elektrik ve Elektronik en_US
dc.title A Wavelet-Based Feature Set for Recognizing Pulse Repetition Interval Modulation Patterns en_US
dc.type Article en_US
dspace.entity.type Publication
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