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Firstly, the angle estimates of targets are calculated by transmitting a pulse with a zero frequency increment and employing the improved <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:msub>\n                           <a:mrow>\n                              <a:mi>l<\/a:mi>\n                           <\/a:mrow>\n                           <a:mrow>\n                              <a:mn>1<\/a:mn>\n                           <\/a:mrow>\n                        <\/a:msub>\n                     <\/a:math>\n                  <\/jats:inline-formula>-SVD method. Subsequently, the range estimates of targets are achieved by utilizing a pulse with a nonzero frequency increment. Specifically, after obtaining the angle estimates of targets, we perform dimensionality reduction processing on the overcomplete dictionary to achieve the automatically paired range and angle in range estimation. Grid partition will bring a heavy computational burden. Therefore, we adopt an iterative grid refinement method to alleviate the above limitation on parameter estimation and propose a new iteration criterion to improve the error between real parameters and their estimates to get a trade-off between the high-precision grid and the atomic correlation. Finally, the proposed algorithm is evaluated by providing the results of the Cram\u00e9r-Rao lower bound (CRLB) and numerical root mean square error (RMSE).<\/jats:p>","DOI":"10.1155\/2020\/6698446","type":"journal-article","created":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T23:05:23Z","timestamp":1608159923000},"page":"1-12","source":"Crossref","is-referenced-by-count":3,"title":["An Accurate Sparse Recovery Algorithm for Range-Angle Localization of Targets via Double-Pulse FDA-MIMO Radar"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0893-8733","authenticated-orcid":true,"given":"Qi","family":"Liu","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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6681-6489","authenticated-orcid":true,"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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0574-8360","authenticated-orcid":true,"given":"Liangtian","family":"Wan","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5709-703X","authenticated-orcid":true,"given":"Mengxing","family":"Huang","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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7779-4484","authenticated-orcid":true,"given":"Lu","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University, 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"volume-title":"Geoloc Techniques: Principles and Applications","year":"2012","author":"C. 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