{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T22:01:50Z","timestamp":1767909710355,"version":"3.49.0"},"reference-count":37,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T00:00:00Z","timestamp":1523404800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61471373"],"award-info":[{"award-number":["61471373"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Focusing on the inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, this paper proposes a modified version of the Fourier transform, called non-uniform rotation transform, to achieve cross-range compression. After translational motion compensation, the target\u2019s complex motion is converted into non-uniform rotation. We define two variables\u2014relative angular acceleration (RAA) and relative angular jerk (RAJ)\u2014to describe the rotational nonuniformity. With the estimated RAA and RAJ, rotational nonuniformity compensation is carried out in the non-uniform rotation transform matrix, after which, a focused ISAR image can be obtained. Moreover, considering the possible deviation of RAA and RAJ, we design an optimization scheme to obtain the optimal RAA and RAJ according to the optimal quality of the ISAR image. Consequently, the ISAR imaging of targets with complex motion is converted into a parameter optimization problem in which a stable and clear ISAR image is guaranteed. Compared to precedent imaging methods, the new method achieves better imaging results with a reasonable computational cost. Experimental results verify the effectiveness and advantages of the proposed algorithm.<\/jats:p>","DOI":"10.3390\/rs10040593","type":"journal-article","created":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T12:16:50Z","timestamp":1523449010000},"page":"593","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Inverse Synthetic Aperture Radar Imaging of Targets with Complex Motion based on Optimized Non-Uniform Rotation Transform"],"prefix":"10.3390","volume":"10","author":[{"given":"Wenzhen","family":"Wu","sequence":"first","affiliation":[{"name":"Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Shiyou","family":"Xu","sequence":"additional","affiliation":[{"name":"Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Pengjiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Jiangwei","family":"Zou","sequence":"additional","affiliation":[{"name":"Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China"}]},{"given":"Zengping","family":"Chen","sequence":"additional","affiliation":[{"name":"Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410073, China"},{"name":"College of Information Engineering, Shenzhen University, Shenzhen 518060, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TAES.1980.308873","article-title":"Target-motion-induced radar imaging","volume":"16","author":"Chen","year":"1980","journal-title":"IEEE Trans. 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