{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T10:01:47Z","timestamp":1772791307050,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T00:00:00Z","timestamp":1720224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Near-range radar imaging (NRRI) has evolved into a vital technology with diverse applications spanning fields such as remote sensing, surveillance, medical imaging and non-destructive testing. The Pseudopolar Format Matrix (PFM) has emerged as a promising technique for representing radar data in a compact and efficient manner. In this paper, we present a comprehensive PFM description of near-range radar imaging. Furthermore, this paper also explores the integration of the Fractional Fourier Transform (FrFT) with PFM for enhanced radar signal analysis. The FrFT\u2014a powerful mathematical tool for signal processing\u2014offers unique capabilities in analysing signals with time-frequency localization properties. By combining FrFT with PFM, we have achieved significant advancements in radar imaging, particularly in dealing with complex clutter environments and improving target detection accuracy. Meanwhile, this paper highlights the imaging matrix form of FrFT under the PFM, emphasizing the potential for addressing challenges encountered in near-range radar imaging. Finally, numerical simulation and real-world scenario measurement imaging results verify optimized accuracy and computational efficiency with the fusion of PFM and FrFT techniques, paving the way for further innovations in near-range radar imaging applications.<\/jats:p>","DOI":"10.3390\/rs16132482","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T07:57:45Z","timestamp":1720425465000},"page":"2482","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Pseudopolar Format Matrix Description of Near-Range Radar Imaging and Fractional Fourier Transform"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5109-4866","authenticated-orcid":false,"given":"Lilong","family":"Zou","sequence":"first","affiliation":[{"name":"School of Computing and Engineering, University of West London, London W5 5RF, UK"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Science and Engineering, Kaplan International College London, London SE1 9DE, UK"}]},{"given":"Amir M.","family":"Alani","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Computing and the Environment, Kingston University, London KT1 1LQ, UK"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1007\/s12583-015-0595-y","article-title":"Near range radar and its application to near surface geophysics and disaster mitigation","volume":"26","author":"Sato","year":"2015","journal-title":"J. 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