{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:21:12Z","timestamp":1774365672034,"version":"3.50.1"},"reference-count":19,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,10,30]],"date-time":"2015-10-30T00:00:00Z","timestamp":1446163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National  Natural  Science  Foundation  of  China","award":["61302149"],"award-info":[{"award-number":["61302149"]}]},{"name":"National  Natural  Science  Foundation  of  China","award":["61302142"],"award-info":[{"award-number":["61302142"]}]},{"DOI":"10.13039\/501100013286","name":"Research Fund for the Doctoral Program of Higher Education of China","doi-asserted-by":"publisher","award":["20124307110013"],"award-info":[{"award-number":["20124307110013"]}],"id":[{"id":"10.13039\/501100013286","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of relative motion between target and radar. The sparsity-driven approaches are commonly used in RCI, while the prior knowledge of imaging models needs to be known accurately. However, as one of the major model errors, the gain-phase error exists generally, and may cause inaccuracies of the model and defocus the image. In the present report, the sparse auto-calibration method is proposed to compensate the gain-phase error in RCI. The method can determine the gain-phase error as part of the imaging process. It uses an iterative algorithm, which cycles through steps of target reconstruction and gain-phase error estimation, where orthogonal matching pursuit (OMP) and Newton\u2019s method are used, respectively. Simulation results show that the proposed method can improve the imaging quality significantly and estimate the gain-phase error accurately.<\/jats:p>","DOI":"10.3390\/s151127611","type":"journal-article","created":{"date-parts":[[2015,11,2]],"date-time":"2015-11-02T02:53:57Z","timestamp":1446432837000},"page":"27611-27624","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Sparse Auto-Calibration for Radar Coincidence Imaging with Gain-Phase Errors"],"prefix":"10.3390","volume":"15","author":[{"given":"Xiaoli","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Electronic Science and Engineering, National University of Defense Technology,  Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, National University of Defense Technology,  Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0127-384X","authenticated-orcid":false,"given":"Yongqiang","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, National University of Defense Technology,  Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuliang","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, National University of Defense Technology,  Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1109\/TGRS.2013.2258929","article-title":"Radar coincidence imaging: An instantaneous imaging technique with stochastic signals","volume":"52","author":"Li","year":"2014","journal-title":"IEEE Trans. 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