Performance Evaluation of Self Organizing Neural Networks for Clustering in Esm Systems

dc.authorid GENCOL, Kenan/0000-0003-4044-3482
dc.authorwosid Gencol, Kenan/AAA-9358-2019
dc.contributor.author Gencol, Kenan
dc.contributor.author Tora, Hakan
dc.contributor.other Airframe and Powerplant Maintenance
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-10-06T10:59:52Z
dc.date.available 2024-10-06T10:59:52Z
dc.date.issued 2014
dc.department Atılım University en_US
dc.department-temp [Gencol, Kenan; Tora, Hakan] Atilim Univ, Elekt Elekt Muhendisligi Bolumu, Ankara, Turkey en_US
dc.description GENCOL, Kenan/0000-0003-4044-3482 en_US
dc.description.abstract Electronic Support Measures (ESM) system is an important function of electronic warfare which provides the real time projection of radar activities. Such systems may encounter with very high density pulse sequences and it is the main task of an ESM system to deinterleave these mixed pulse trains with high accuracy and minimum computation time. These systems heavily depend on time of arrival analysis and need efficient clustering algorithms to assist deinterleaving process in modern evolving environments. On the other hand, self organizing neural networks stand very promising for this type of radar pulse clustering. In this study, performances of self organizing neural networks that meet such clustering criteria are evaluated in detail and the results are presented. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 2
dc.identifier.endpage 2236 en_US
dc.identifier.isbn 9781479948741
dc.identifier.issn 2165-0608
dc.identifier.startpage 2233 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/9042
dc.identifier.wos WOS:000356351400538
dc.institutionauthor Gençol, Kenan
dc.institutionauthor Tora, Hakan
dc.language.iso tr en_US
dc.publisher Ieee en_US
dc.relation.ispartof 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject [No Keyword Available] en_US
dc.title Performance Evaluation of Self Organizing Neural Networks for Clustering in Esm Systems en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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