{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T10:33:36Z","timestamp":1772361216731,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T00:00:00Z","timestamp":1661126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61771380 U1730109"],"award-info":[{"award-number":["61771380 U1730109"]}]},{"name":"National Natural Science Foundation of China","award":["CEMEE 2017K0202B"],"award-info":[{"award-number":["CEMEE 2017K0202B"]}]},{"name":"National Natural Science Foundation of China","award":["19xcj047"],"award-info":[{"award-number":["19xcj047"]}]},{"name":"Teaching Reform Research Project","award":["61771380 U1730109"],"award-info":[{"award-number":["61771380 U1730109"]}]},{"name":"Teaching Reform Research Project","award":["CEMEE 2017K0202B"],"award-info":[{"award-number":["CEMEE 2017K0202B"]}]},{"name":"Teaching Reform Research Project","award":["19xcj047"],"award-info":[{"award-number":["19xcj047"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["61771380 U1730109"],"award-info":[{"award-number":["61771380 U1730109"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["CEMEE 2017K0202B"],"award-info":[{"award-number":["CEMEE 2017K0202B"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["19xcj047"],"award-info":[{"award-number":["19xcj047"]}]},{"name":"Innovation Fund of Xidian University","award":["61771380 U1730109"],"award-info":[{"award-number":["61771380 U1730109"]}]},{"name":"Innovation Fund of Xidian University","award":["CEMEE 2017K0202B"],"award-info":[{"award-number":["CEMEE 2017K0202B"]}]},{"name":"Innovation Fund of Xidian University","award":["19xcj047"],"award-info":[{"award-number":["19xcj047"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The multiple-input multiple-output (MIMO) radar imaging technology has attracted many scholars due to its many inherent advantages, such as avoiding complex motion compensation and imaging a quickly maneuvering target, compared to inverse synthetic aperture radar (ISAR) imaging. Although some imaging algorithms, such as the 2D fast iterative shrinkage thresholding algorithm (2D-FISTA), can meet the demand for super-resolution, they are not directly suited to MIMO radar imaging, for which the MIMO manifold needs to be considered. In this paper, based on the above questions, we propose the MIMO radar imaging algorithm, utilizing the sparsity of the scattering map in space and the MIMO array manifold, even achieving a good performance in the presence of MIMO channel error. The sparse reconstruction algorithm is developed with the alternative direction method of multipliers (ADMM) with the help of 2D-FISTA and the lp-norm. Then, two algorithms are derived: one is the exact sparse recovery algorithm, and the other is the inexact sparse recovery algorithm. Although the exact sparse recovery algorithm can converge to a more accurate precision than the inexact algorithm, the latter can converge at a faster speed. Finally, the results on simulation data validated the effectiveness of the algorithm.<\/jats:p>","DOI":"10.3390\/rs14164120","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T23:49:56Z","timestamp":1661212196000},"page":"4120","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Robust Sparse Imaging Algorithm Using Joint MIMO Array Manifold and Array Channel Outliers"],"prefix":"10.3390","volume":"14","author":[{"given":"Jieru","family":"Ding","sequence":"first","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyi","family":"Wang","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"},{"name":"Center for Information and Educational Technology, Xi\u2019an University of Finance and Economics, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinghui","family":"Wu","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Wang","sequence":"additional","affiliation":[{"name":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ozdemir, C. 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