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dc.contributor.authorGishkori, Shahzad Sarwar
dc.contributor.authorDaniel, Liam
dc.contributor.authorGashinova, Marina
dc.contributor.authorMulgrew, Bernard
dc.date.accessioned2021-04-21T07:36:15Z
dc.date.available2021-04-21T07:36:15Z
dc.date.issued2021-04-05
dc.identifier.citationGishkori, S., Daniel, L., Gashinova, M., & Mulgrew, B. (2021). Imaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation. Signal Processing, 185, 108110. doi:10.1016/j.sigpro.2021.108110
dc.identifier.issn0165-1684
dc.identifier.doi10.1016/j.sigpro.2021.108110
dc.identifier.urihttp://hdl.handle.net/10754/668885
dc.description.abstractForward scanning SAR (FS-SAR) has recently been presented as a new mode of imaging for automotive radars, providing enhanced azimuth resolution. FS-SAR has been extended to imaging moving objects. However, it is assumed that the radar motion has been pre-compensated. Therefore, image reconstruction and focusing have to deal with the movement of the target objects only. In practice, it is not easy to compensate for, especially, complex radar motion, perfectly. Therefore, in this paper, we modify the erstwhile approach of imaging moving targets with FS-SAR to allow for radar motion without compensation. Instead of a joint, image reconstruction and image/matrix decomposition, approach, we first reconstruct the target image for every aperture position and then apply matrix decomposition to separate moving targets from clutter/stationary objects. We show, via two FS-SAR reconstruction algorithms, namely, the compressed sensing based back-projection and the modified back-projection, that the proposed approach provides the benefits of improved imaging without the need for radar motion compensation. Real-data experiments corroborate the proposed methodology.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0165168421001481
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Signal Processing, [185, , (2021-04-05)] DOI: 10.1016/j.sigpro.2021.108110 . © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleImaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalSignal Processing
dc.rights.embargodate2022-04-11
dc.eprint.versionPost-print
dc.contributor.institutionInstitute for Digital Communications (IDCOM), The School of Engineering, The University of Edinburgh, United Kingdom
dc.contributor.institutionMicrowave Integrated System Laboratory (MISL), School of Electronic, Electrical and Systems Engineering, University of Birmingham, United Kingdom
dc.identifier.volume185
dc.identifier.pages108110
kaust.personGishkori, Shahzad Sarwar
dc.relation.issupplementedbyDOI:10.7488/ds/2829
dc.identifier.eid2-s2.0-85103987220
display.relations<b>Is Supplemented By:</b><br/> <ul><li><i>[Dataset]</i> <br/> (:Unkn) Unknown. (2020). <i>Imaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation</i>. The University of Edinburgh. The School of Engineering. Institute for Digital Communications. https://doi.org/10.7488/DS/2829. DOI: <a href="https://doi.org/10.7488/ds/2829" >10.7488/ds/2829</a> Handle: <a href="http://hdl.handle.net/10754/668992" >10754/668992</a></a></li></ul>


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