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dc.contributor.authorGishkori, Shahzad Sarwar
dc.contributor.authorWright, David
dc.contributor.authorDaniel, Liam
dc.contributor.authorShaikh, Mohammed Aasim
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorGashinova, Marina
dc.contributor.authorMulgrew, Bernard
dc.date.accessioned2021-12-07T11:55:24Z
dc.date.available2021-12-07T11:55:24Z
dc.date.issued2021
dc.identifier.citationGishkori, S., Wright, D., Daniel, L., Shaikh, M. A., Al-Naffouri, T., Gashinova, M., & Mulgrew, B. (2021). Adaptive Sub-Aperture Integration for Wide-Angle Synthetic Aperture Radar. IEEE Transactions on Terahertz Science and Technology, 1–1. doi:10.1109/tthz.2021.3132150
dc.identifier.issn2156-3446
dc.identifier.doi10.1109/TTHZ.2021.3132150
dc.identifier.urihttp://hdl.handle.net/10754/673927
dc.description.abstractIn this paper, we present an adaptive sub-aperture integration method for wide-angle synthetic aperture radar (SAR) for improved imaging, with emphasis on short-to-medium range applications. In order to avoid full-aperture integration, traditional approaches use fixed-width sub-apertures, which may not conform to the persistence angle of the scatterers. Coherent integration gains over the aperture are possible if integration is carried out over the persistence angle of the scatterers, because integrating shorter than the persistence angle may spread the scattering response across multiple sub-apertures or, conversely, integrating more than the persistence angle may cause noise accumulation along with the useful signal. In this paper, we propose to use change-point detection methods to estimate the persistence widths of the scatterers, and consequently enhance the coherent integration gains, resulting in improved imaging. We compare our proposed methods with the standard integration approaches as well as a recently proposed adaptive integration approach. We provide qualitative and quantitative analyses to prove that our proposed methods outperform the existing approaches. We present experimental results on the real-data of our low-terahertz (THz) radar as well as a publicly available dataset to validate our claims.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9633154/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9633154/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9633154
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectTHz radar
dc.subjectwide-angle SAR
dc.subjectsub-aperture integration
dc.subjectchange-point detection
dc.titleAdaptive Sub-Aperture Integration for Wide-Angle Synthetic Aperture Radar
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering Program
dc.contributor.departmentKAUST, 127355 Thuwal, Makkah, Saudi Arabia,
dc.identifier.journalIEEE Transactions on Terahertz Science and Technology
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Edinburgh, Edinburgh, United Kingdom of Great Britain and Northern Ireland,
dc.contributor.institutionUniversity of Birmingham, 1724 Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland,
dc.contributor.institutionSchool of Electronic, Electrical & Computer Engineering, University of Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland,
dc.identifier.pages1-1
kaust.personGishkori, Shahzad Sarwar
kaust.personShaikh, Mohammed Aasim
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2021-12-08T05:26:55Z


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