Sidelobe suppression techniques for near-field multistatic SAR

dc.contributor.authorPrice, George A. J.
dc.contributor.authorMoate, Chris
dc.contributor.authorAndre, Daniel
dc.contributor.authorYuen, Peter W. T.
dc.date.accessioned2023-01-09T15:23:31Z
dc.date.available2023-01-09T15:23:31Z
dc.date.issued2023-01-09
dc.description.abstractMultirotor Unmanned Air Systems (UAS) represent a significant improvement in capability for Synthetic Aperture Radar (SAR) imaging when compared to traditional, fixed-wing, platforms. In particular, a swarm of UAS can generate significant measurement diversity through variation of spatial and frequency collections across an array of sensors. In such imaging schemes, the image formation step is challenging due to strong extended sidelobe; however, were this to be effectively managed, a dramatic increase in image quality is theoretically possible. Since 2015, QinetiQ have developed the RIBI system, which uses multiple UAS to perform short-range multistatic collections, and this requires novel near-field processing to mitigate the high sidelobes observed and form actionable imagery. This paper applies a number of algorithms to assess image reconstruction of simulated near-field multistatic SAR with an aim to suppress sidelobes observed in the RIBI system, investigating techniques including traditional SAR processing, regularised linear regression, compressive sensing. In these simulations presented, Elastic net, Orthogonal Matched Pursuit, and Iterative Hard Thresholding all show the ability to suppress sidelobes while preserving accuracy of scatterer RCS. This has also lead to a novel processing approach for reconstructing SAR images based on the observed Elastic net and Iterative Hard Thresholding performance, mitigating weaknesses to generate an improved combined approach. The relative strengths and weaknesses of the algorithms are discussed, as well as their application to more complex real-world imagery.en_UK
dc.identifier.citationPrice GAJ, Moate C, Andre D, Yuen P. (2023) Sidelobe suppression techniques for near-field multistatic SAR, Sensors, Volume 23, Issue 2, January 2023, Article number 732en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s23020732
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18922
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSARen_UK
dc.subjectmultistaticen_UK
dc.subjectcompressive sensingen_UK
dc.subjectUASen_UK
dc.titleSidelobe suppression techniques for near-field multistatic SARen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Sidelobe_suppression_techniques-2023.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description: