{"id":"https://openalex.org/W3019425495","doi":"https://doi.org/10.1109/lcomm.2020.2989548","title":"A Second-Order Statistics-Based Mixed Sources Localization Method With Symmetric Sparse Arrays","display_name":"A Second-Order Statistics-Based Mixed Sources Localization Method With Symmetric Sparse Arrays","publication_year":2020,"publication_date":"2020-04-22","ids":{"openalex":"https://openalex.org/W3019425495","doi":"https://doi.org/10.1109/lcomm.2020.2989548","mag":"3019425495"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2020.2989548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2989548","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062793011","display_name":"Xiaohuan Wu","orcid":"https://orcid.org/0000-0003-3190-6115"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohuan Wu","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101781340","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0001-7113-0249"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062793011"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.2123,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.78709677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"8","first_page":"1695","last_page":"1699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.5868868231773376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5816498398780823},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5718072056770325},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5482004284858704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5309578776359558},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48266199231147766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4720733165740967},{"id":"https://openalex.org/keywords/oblique-projection","display_name":"Oblique projection","score":0.4184703826904297},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4144562780857086},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3095538318157196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22982358932495117},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09215760231018066}],"concepts":[{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.5868868231773376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5816498398780823},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5718072056770325},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5482004284858704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5309578776359558},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48266199231147766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4720733165740967},{"id":"https://openalex.org/C161666082","wikidata":"https://www.wikidata.org/wiki/Q14551923","display_name":"Oblique projection","level":3,"score":0.4184703826904297},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4144562780857086},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3095538318157196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22982358932495117},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09215760231018066},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2020.2989548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2989548","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4838455936","display_name":null,"funder_award_id":"BK20180748","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5132365174","display_name":null,"funder_award_id":"61801245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7108851533","display_name":null,"funder_award_id":"61772287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8949608642","display_name":null,"funder_award_id":"61771256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1978683583","https://openalex.org/W1984872964","https://openalex.org/W1998769944","https://openalex.org/W2006579621","https://openalex.org/W2011272916","https://openalex.org/W2018978930","https://openalex.org/W2019492706","https://openalex.org/W2049850673","https://openalex.org/W2089619278","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2115485558","https://openalex.org/W2127695678","https://openalex.org/W2128131274","https://openalex.org/W2147855704","https://openalex.org/W2162654459","https://openalex.org/W2357400875","https://openalex.org/W2552037037","https://openalex.org/W2565293665","https://openalex.org/W2616555170","https://openalex.org/W2767837190","https://openalex.org/W2878329596","https://openalex.org/W2892433162","https://openalex.org/W2893104611","https://openalex.org/W2921062571","https://openalex.org/W2946735249","https://openalex.org/W2953900845","https://openalex.org/W2962727817","https://openalex.org/W2962965396","https://openalex.org/W3015696085","https://openalex.org/W3019778415","https://openalex.org/W3150411600"],"related_works":["https://openalex.org/W2366989203","https://openalex.org/W2013995543","https://openalex.org/W2158224665","https://openalex.org/W2800812882","https://openalex.org/W2547954852","https://openalex.org/W2510419178","https://openalex.org/W2379589510","https://openalex.org/W3198360760","https://openalex.org/W3094674256","https://openalex.org/W2208932071"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3],"localization":[4],"method":[5],"for":[6,122],"mixed":[7],"far-field":[8],"(FF)":[9],"and":[10,54,99,105],"near-field":[11],"(NF)":[12],"sources":[13,31,49,76,104],"based":[14],"on":[15],"second-order":[16],"statistics":[17],"(SOS)":[18],"with":[19],"generalized":[20],"symmetric":[21],"sparse":[22,124],"linear":[23],"arrays.":[24,125],"First,":[25],"the":[26,29,41,47,51,55,63,66,70,74,84,97,106,119,123,132],"DOAs":[27,64],"of":[28,65,73,86,102,111,134],"FF":[30,52],"are":[32,77,127],"estimated":[33],"by":[34,79],"using":[35],"MUSIC":[36],"method.":[37,137],"Then,":[38],"we":[39],"use":[40],"oblique":[42,107],"projection":[43],"technique":[44],"to":[45,61,94,130],"isolate":[46],"NF":[48,67,75,103],"from":[50,118],"ones":[53],"atomic":[56],"norm":[57],"minimization":[58],"is":[59,92,116],"employed":[60,93],"retrieve":[62],"sources.":[68],"Finally,":[69],"range":[71,100],"information":[72,101],"determined":[78],"one-dimensional":[80],"searching.":[81],"To":[82],"against":[83],"effect":[85],"finite":[87],"measurements,":[88],"an":[89],"iterative":[90],"procedure":[91],"alternatively":[95],"updating":[96],"DOA":[98],"projector.":[108],"Closed-form":[109],"expression":[110],"Crammer-Rao":[112],"lower":[113],"bound":[114],"(CRLB)":[115],"derived":[117],"coarray":[120],"perspective":[121],"Simulations":[126],"carried":[128],"out":[129],"demonstrate":[131],"effectiveness":[133],"our":[135],"proposed":[136]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}