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Compared to general coprime array, CCNA yields two sparse coprime subarrays in the coarray domain by adding a third subarray in the physical\u2010array domain. To ensure the DOA estimation performance, the subarray with larger aperture is chosen, and the cyclic phase ambiguity caused by the sparse subarray allows partial dictionary covering arbitrary cycle to represent the whole atoms, and then, the off\u2010grid sparse reconstruction method is developed to amend the grid mismatch. After the sparse recovery and off\u2010grid compensation, ambiguous DOA estimations can be eliminated by substituting the estimations into the whole virtual array. Multiple simulations verify that the proposed algorithm outperforms the other state\u2010of\u2010the\u2010art methods in terms of DOA estimation accuracy and angular resolution.<\/jats:p>","DOI":"10.1155\/2021\/9939651","type":"journal-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T00:41:44Z","timestamp":1622162504000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Partial Dictionary Based Off\u2010Grid DOA Estimation Using Combined Coprime and Nested Array"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4055-7017","authenticated-orcid":false,"given":"Jianfeng","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiting","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,27]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/79.526899"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2569416"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2017.09.021"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2970967"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3066504"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2958913"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.909108"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/s18124465"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.850882"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2012.03.020"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2158425"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2090525"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2011.2112650"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2012.2222378"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2343940"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.12.031"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2277451"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2049264"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2997030"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3054056"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2020.3034012"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2089682"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-020-01605-5"},{"key":"e_1_2_9_24_2","doi-asserted-by":"crossref","unstructured":"PalP.andVaidyanathanP. 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