Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/2750
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Çamlıca, Sedat | - |
dc.contributor.author | Yetik, İmam Şamil | - |
dc.contributor.author | Arıkan, Orhan | - |
dc.date.accessioned | 2019-12-25T14:03:35Z | |
dc.date.available | 2019-12-25T14:03:35Z | |
dc.date.issued | 2019-06 | |
dc.identifier.citation | Camlica, S., Yetik, I. S., and Arikan, O. (2019). Sparsity based off-grid blind sensor calibration. Digital Signal Processing, 84, 80-92. | en_US |
dc.identifier.issn | 1051-2004 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1051200418304548?via%3Dihub | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/2750 | - |
dc.description.abstract | Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal has a sparse support restricted on the discretized grid points. This restriction of representing the signal on a discretized grid results in the off-grid problem which causes performance degradation in the reconstruction of signals. Sensor calibration is another issue which can cause performance degradation if not properly addressed. Calibration aims to reduce the disruptive effects of the phase and the gain biases. In this paper, a CS based blind calibration technique is proposed for the reconstruction of multiple off-grid signals. The proposed technique is capable of estimating the off-grid signals and correcting the gain and the phase biases due to insufficient calibration simultaneously. It is applied to off-grid frequency estimation and direction finding applications using blind calibration. Extensive simulation analyses are performed for both applications. Results show that the proposed technique has superior reconstruction performance. (C) 2018 Elsevier Inc. All rights reserved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Inc. | en_US |
dc.relation.ispartof | Digital Signal Processing: A Review Journal | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Blind calibration | en_US |
dc.subject | sparse | en_US |
dc.subject | compressive sensing | en_US |
dc.subject | off-grid | en_US |
dc.subject | direction finding | en_US |
dc.subject | frequency estimation | en_US |
dc.title | Sparsity Based Off-Grid Blind Sensor Calibration | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 84 | |
dc.identifier.startpage | 80 | |
dc.identifier.endpage | 92 | |
dc.authorid | 0000-0002-7330-4692 | - |
dc.identifier.wos | WOS:000453629500008 | en_US |
dc.identifier.scopus | 2-s2.0-85055689736 | en_US |
dc.institutionauthor | Yetik, İmam Şamil | - |
dc.identifier.doi | 10.1016/j.dsp.2018.10.005 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.5. 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 |
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