Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2857
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHayvacı, Harun Taha-
dc.contributor.authorGülen, Seden Hazal-
dc.date.accessioned2019-12-25T14:03:43Z
dc.date.available2019-12-25T14:03:43Z
dc.date.issued2019
dc.identifier.citationHayvaci, H. T., and Gulen, S. H. (2019, May). Adaptive Detection with Diffuse Multipath Exploitation in Partially Homogeneous Environments. In 2019 Sensor Signal Processing for Defence Conference (SSPD) (pp. 1-5). IEEE.en_US
dc.identifier.isbn978-172810503-1
dc.identifier.urihttps://ieeexplore.ieee.org/document/8751660/keywords#keywords-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2857-
dc.description.abstractIn this paper, we deal with the problem of detecting point-like targets in the presence of multipath under the assumption of a partially homogeneous Gaussian disturbance with unknown covariance matrix. Therefore, we introduce an unknown scaling factor which represents the mismatch between the noise covariance matrices of test and training signals. Besides, we model the target echo as a combination of direct and multipath components where multipath echoes are thought of as scattered signals from a glistening surface which is referred to as diffuse multipath environment. Hence, the total multipath return is also represented as a Gaussian distributed random vector with an unknown covariance matrix. At the design stage, we construct a constrained Generalized Likelihood Ratio Test (GLRT) by assuming that the total primary data covariance structure, in the target present case, resembles to the covariance matrix obtained from secondary data up to a degree (related to noise scaling factor and multipath contribution). Finally, at the analysis stage, we compared the developed algorithm with the existing solutions available in the open literature. The results highlight that the new detector copes well with severe multipath conditions and has considerable scale-invariance. © 2019 IEEE.en_US
dc.language.isoenen_US
dc.publisher Institute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof 2019 Sensor Signal Processing for Defence Conference (SSPD)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClutter (information theory) en_US
dc.subject radar clutter en_US
dc.subject clutter covarianceen_US
dc.titleAdaptive detection with diffuse multipath exploitation in partially homogeneous environmentsen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.authorid0000-0002-6717-5484-
dc.identifier.wosWOS:000491260500016en_US
dc.identifier.scopus2-s2.0-85069150680en_US
dc.institutionauthorHayvacı, Harun Taha-
dc.identifier.doi10.1109/SSPD.2019.8751660-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Object-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

3
checked on Mar 25, 2023

WEB OF SCIENCETM
Citations

3
checked on Mar 11, 2023

Page view(s)

58
checked on Mar 20, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.