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In the first phase, given the sample crosscorrelation matrix, the gridless DANM technique considering the noise and finite snapshots effects is employed to exploit the structure and sparse properties of the crosscorrelation matrix. The resulting DANM\u2010based algorithm not only enables the crosscorrelation matrix reconstruction (CCMR) but also reconstructs the covariance matrix of the L\u2010shaped array. Hence, sequentially, in the second phase, the conventional 2D DOA estimators for the L\u2010shaped array can be adopted for the angle estimation. With appropriate 2D DOA estimators, the resulting proposed algorithms can not only achieve better performance but also detect more source number, compared with conventional crosscorrelation\u2010based DOA estimators. Moreover, the proposed method, termed CCMR\u2010DANM, not only has blind characteristic that it does not require the prior information of source numbers but also is more efficient than the existing CCMR\u2010based counterparts. Numerical simulations demonstrate the effectiveness and outperformance of the proposed method.<\/jats:p>","DOI":"10.1155\/2021\/6659679","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T18:59:48Z","timestamp":1617130788000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Crosscorrelation and DOA Estimation for L\u2010Shaped Array via Decoupled Atomic Norm Minimization"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9311-1700","authenticated-orcid":false,"given":"Yu","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7723-7538","authenticated-orcid":false,"given":"Gong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinhai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,3,30]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_10_1_2","DOI":"10.1109\/jiot.2017.2787785"},{"doi-asserted-by":"publisher","key":"e_1_2_10_2_2","DOI":"10.1016\/j.sigpro.2016.12.031"},{"doi-asserted-by":"publisher","key":"e_1_2_10_3_2","DOI":"10.1155\/2018\/5454719"},{"doi-asserted-by":"publisher","key":"e_1_2_10_4_2","DOI":"10.1155\/2019\/6797168"},{"doi-asserted-by":"publisher","key":"e_1_2_10_5_2","DOI":"10.1109\/access.2019.2930531"},{"doi-asserted-by":"publisher","key":"e_1_2_10_6_2","DOI":"10.1016\/j.sigpro.2020.107512"},{"doi-asserted-by":"publisher","key":"e_1_2_10_7_2","DOI":"10.1109\/TAES.2020.3034012"},{"doi-asserted-by":"publisher","key":"e_1_2_10_8_2","DOI":"10.1109\/8.142630"},{"doi-asserted-by":"publisher","key":"e_1_2_10_9_2","DOI":"10.1109\/lawp.2016.2582922"},{"doi-asserted-by":"publisher","key":"e_1_2_10_10_2","DOI":"10.1109\/LAWP.2007.907913"},{"doi-asserted-by":"publisher","key":"e_1_2_10_11_2","DOI":"10.1109\/TSP.2011.2144591"},{"doi-asserted-by":"publisher","key":"e_1_2_10_12_2","DOI":"10.1109\/lsp.2014.2321791"},{"doi-asserted-by":"publisher","key":"e_1_2_10_13_2","DOI":"10.1109\/LAWP.2015.2493099"},{"doi-asserted-by":"publisher","key":"e_1_2_10_14_2","DOI":"10.1109\/LAWP.2016.2521785"},{"doi-asserted-by":"publisher","key":"e_1_2_10_15_2","DOI":"10.1109\/LSP.2017.2676124"},{"doi-asserted-by":"publisher","key":"e_1_2_10_16_2","DOI":"10.1109\/TAP.1986.1143830"},{"doi-asserted-by":"publisher","key":"e_1_2_10_17_2","DOI":"10.1109\/29.32276"},{"doi-asserted-by":"publisher","key":"e_1_2_10_18_2","DOI":"10.1016\/j.sigpro.2019.04.024"},{"doi-asserted-by":"crossref","unstructured":"ZhangY. 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