Modelling real‐world effects in near‐field SAR collections for compressive sensing

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dc.contributor.authorPrice, George A. J.
dc.contributor.authorAndre, Daniel
dc.contributor.authorMoate, Chris
dc.contributor.authorYuen, Peter
dc.contributor.authorFinnis, Mark
dc.date.accessioned2025-01-14T15:36:37Z
dc.date.available2025-01-14T15:36:37Z
dc.date.freetoread2025-01-14
dc.date.issued2025-01
dc.date.pubOnline2025-01-09
dc.description.abstractThe ability to control sidelobes in a SAR image is critical to forming images that are useful for interpretation and exploitation. QinetiQ has developed the RIBI sensing system, which utilises a distributed coherent array of sensors to produce multistatic images. These systems require techniques from outside the traditional radar domain to utilise the theoretical resolution possible in synthesising a coherent aperture from multiple disparate collections. This paper develops previously published work on using compressive sensing techniques to suppress sidelobes in SAR images to develop a higher‐fidelity measurement model. Using Cranfield University's GBSAR System a series, experimental measurements are conducted, and image estimation techniques are applied to this real data. It demonstrates an improvement in recovery performance over an isotropic measurement matrix, and discusses areas which require further development.
dc.description.journalNameIET Radar, Sonar & Navigation
dc.description.sponsorshipThis work was funded by QinetiQ's sponsorship of PhDresearch.
dc.identifier.citationPrice GAJ, Andre D, Moate C, et al., (2025) Modelling real‐world effects in near‐field SAR collections for compressive sensing. IET Radar, Sonar & Navigation, Volume 19, Issue 1, January/December 2025, Article number e12692
dc.identifier.eissn1751-8792
dc.identifier.elementsID561963
dc.identifier.issn1751-8784
dc.identifier.issueNo1
dc.identifier.paperNoe12692
dc.identifier.urihttps://doi.org/10.1049/rsn2.12692
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23376
dc.identifier.volumeNo19
dc.languageEnglish
dc.language.isoen
dc.publisherInstitution of Engineering and Technology (IET)
dc.publisher.urihttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rsn2.12692
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4013 Geomatic Engineering
dc.subject40 Engineering
dc.subjectNetworking & Telecommunications
dc.subject4006 Communications engineering
dc.titleModelling real‐world effects in near‐field SAR collections for compressive sensing
dc.typeArticle
dcterms.dateAccepted2024-12-11

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