Autofocused spotlight SAR image reconstruction of off-grid sparse scenes

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage1892en_US
dc.citation.issueNumber4en_US
dc.citation.spage1880en_US
dc.citation.volumeNumber53en_US
dc.contributor.authorCamlıca, S.en_US
dc.contributor.authorGurbuz, A. C.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.date.accessioned2018-04-12T11:03:03Z
dc.date.available2018-04-12T11:03:03Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractSynthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. For efficient processing of the measurements, image plane is discretized and autofocusing algorithms on this discrete grid are employed. However, in addition to the platform motion errors, the reflectors, which are not exactly on the reconstruction grid, also degrade the image quality. This is called the off-grid target problem. In this paper, a sparsity-based technique is developed for autofocused spotlight SAR image reconstruction that can correct phase errors due to uncompensated platform motion and provide robust images in the presence of off-grid targets. The proposed orthogonal matching pursuit-based reconstruction technique uses gradient descent parameter updates with built in autofocus. The technique can reconstruct high-quality images by using sub Nyquist rate of sampling on the reflected signals at the receiver. The results obtained using both simulated and real SAR system data show that the proposed technique provides higher quality reconstructions over alternative techniques in terms of commonly used performance metrics.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:03:03Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017en
dc.identifier.doi10.1109/TAES.2017.2675138en_US
dc.identifier.issn0018-9251
dc.identifier.urihttp://hdl.handle.net/11693/37109
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TAES.2017.2675138en_US
dc.source.titleIEEE Transactions on Aerospace and Electronic Systemsen_US
dc.subjectAutofocusen_US
dc.subjectCompressive sensing (CS)en_US
dc.subjectOff-griden_US
dc.subjectRadaren_US
dc.subjectSparseen_US
dc.subjectSpotlight synthetic aperture radar (SAR)en_US
dc.subjectCommunication channels (information theory)en_US
dc.subjectErrorsen_US
dc.subjectImage processingen_US
dc.subjectImage reconstructionen_US
dc.subjectPhase noiseen_US
dc.subjectRemote sensingen_US
dc.subjectSynthetic aperture radaren_US
dc.subjectHigh quality imagesen_US
dc.subjectOrthogonal matching pursuiten_US
dc.subjectPerformance metricsen_US
dc.subjectReconstruction techniquesen_US
dc.titleAutofocused spotlight SAR image reconstruction of off-grid sparse scenesen_US
dc.typeArticleen_US

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