{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:01:57Z","timestamp":1760144517922,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T00:00:00Z","timestamp":1712880000000},"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":["62371468","62131020","61971434"],"award-info":[{"award-number":["62371468","62131020","61971434"]}],"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>The problem of separating multicomponent micro-Doppler (m-D) signals is common in the field of radar signal processing. In some implementations, it is necessary to separate the multicomponent m-D signal that contains missing samples. To address this issue, an optimization model has been developed to recover and decompose multicomponent m-D signals with missing samples. To solve the underlying optimization problem, a two-algorithm-based alternate iteration framework is proposed. This method uses three techniques\u2014the null space property, ridge regression method, and matching pursuit principle\u2014to estimate the individual component, complex-valued differential operator, and regularization parameter. Finally, as shown by both simulation and measured data processing results, the proposed method can accurately separate the multicomponent m-D signal from incomplete data.<\/jats:p>","DOI":"10.3390\/rs16081369","type":"journal-article","created":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T11:09:20Z","timestamp":1712920160000},"page":"1369","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Separation of Multicomponent Micro-Doppler Signal with Missing Samples"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2812-3777","authenticated-orcid":false,"given":"Jianfei","family":"Ren","sequence":"first","affiliation":[{"name":"Information and Navigation College, Air Force Engineering University, Xi\u2019an 710077, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7439-3295","authenticated-orcid":false,"given":"Huan","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi\u2019an Electronic Engineering Research Institute, Xi\u2019an 710100, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9383-3017","authenticated-orcid":false,"given":"Kai-Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Information and Navigation College, Air Force Engineering University, Xi\u2019an 710077, China"},{"name":"Collaborative Innovation Center of Information Sensing and Understanding, Xi\u2019an 710077, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1460-4289","authenticated-orcid":false,"given":"Ying","family":"Luo","sequence":"additional","affiliation":[{"name":"Information and Navigation College, Air Force Engineering University, Xi\u2019an 710077, China"},{"name":"Collaborative Innovation Center of Information Sensing and Understanding, Xi\u2019an 710077, China"},{"name":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2773-3437","authenticated-orcid":false,"given":"Qun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Information and Navigation College, Air Force Engineering University, Xi\u2019an 710077, China"},{"name":"Collaborative Innovation Center of Information Sensing and Understanding, Xi\u2019an 710077, China"},{"name":"Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China"}]},{"given":"Zhuo","family":"Chen","sequence":"additional","affiliation":[{"name":"Xi\u2019an Electronic Engineering Research Institute, Xi\u2019an 710100, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TAES.2006.1603402","article-title":"Micro-Doppler effect in radar: Phenomenon, model, and simulation study","volume":"42","author":"Chen","year":"2006","journal-title":"IEEE Trans. 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