{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:25:02Z","timestamp":1776443102322,"version":"3.51.2"},"reference-count":28,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"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":["No. 61861015 and 61961013"],"award-info":[{"award-number":["No. 61861015 and 61961013"]}],"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>In this paper, we study the joint range and angle estimation problem based in monostatic frequency diverse-array multiple-input multiple-output (FDA-MIMO) radar, and propose a method for range and angle estimation base on compressed unitary parallel factor (PARAFAC). First, the received complex signal matrix is stacked into a third-order complex signal tensor. Then, we can transform the obtained third-order complex signal tensor into a third-order real-valued signal tensor by employing forward\u2013backward and unitary transformation techniques. Next, a smaller third-order real-valued signal tensor is composed by using compressing the third-order real-valued signal tensor. After that, PARAFAC decomposition is applied to obtain the direction matrix. Lastly, the angle and range are estimated by employing the least square (LS) fitting. The estimation error of the proposed method is about 10% lower than that of the traditional PARAFAC method under the low number of snapshots. When the number of snapshots is high, the performance of the two methods is close. Moreover, the computational complexity of the proposed method is nearly 96% less than those of the traditional PARAFAC methods in the case of low snapshots, while the gap is larger in the case of high snapshots. The superiority and effectiveness of the method are proved by complexity analysis and simulation experiments.<\/jats:p>","DOI":"10.3390\/rs14061398","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T02:56:20Z","timestamp":1647312980000},"page":"1398","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Joint Angle and Range Estimation in Monostatic FDA-MIMO Radar via Compressed Unitary PARAFAC"],"prefix":"10.3390","volume":"14","author":[{"given":"Wenshuai","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Marine Resource Utilization in South China, Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, China"}]},{"given":"Xianpeng","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Marine Resource Utilization in South China, Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, China"}]},{"given":"Jinmei","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571158, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4769-3639","authenticated-orcid":false,"given":"Xiang","family":"Lan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Marine Resource Utilization in South China, Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3903","DOI":"10.1109\/TSP.2020.3000952","article-title":"CFAR feature plane: A novel framework for the analysis and design of radar detectors","volume":"68","author":"Coluccia","year":"2020","journal-title":"IEEE Trans. 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