{"id":"https://openalex.org/W2996642625","doi":"https://doi.org/10.1109/lcomm.2019.2958913","title":"Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery","display_name":"Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2996642625","doi":"https://doi.org/10.1109/lcomm.2019.2958913","mag":"2996642625"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2019.2958913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2958913","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/A5017600022","display_name":"Dandan Meng","orcid":"https://orcid.org/0009-0008-1100-2470"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Meng","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","College of Information Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947451","display_name":"Xianpeng Wang","orcid":"https://orcid.org/0000-0002-6681-6489"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianpeng Wang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","College of Information Science and Technology, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0002-6681-6489","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011132245","display_name":"Mengxing Huang","orcid":"https://orcid.org/0000-0002-5709-703X"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxing Huang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","College of Information Science and Technology, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0002-5709-703X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026853484","display_name":"Liangtian Wan","orcid":"https://orcid.org/0000-0003-0574-8360"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangtian Wan","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-0574-8360","affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392823","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-2577-6257"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Kanagawa University, Yokohama, Japan","Kanagawa University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2577-6257","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kanagawa University, Yokohama, Japan","institution_ids":["https://openalex.org/I41802502"]},{"raw_affiliation_string":"Kanagawa University, Yokohama, Japan","institution_ids":["https://openalex.org/I41802502"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5441,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97489802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"3","first_page":"563","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7737793922424316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6536653637886047},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6317065954208374},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6115614175796509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672231912612915},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5386379361152649},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"Mutual coherence","score":0.47654587030410767},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4614608883857727},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4222366213798523},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.41830235719680786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3991335332393646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3884168565273285},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3750421404838562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30861395597457886},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.12786006927490234},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0847802460193634},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0721290111541748}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7737793922424316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6536653637886047},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6317065954208374},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6115614175796509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672231912612915},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5386379361152649},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.47654587030410767},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4614608883857727},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4222366213798523},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.41830235719680786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3991335332393646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3884168565273285},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3750421404838562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30861395597457886},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.12786006927490234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0847802460193634},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0721290111541748},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2019.2958913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2958913","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1441834518","display_name":null,"funder_award_id":"61701144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1481752906","display_name":null,"funder_award_id":"HDTDU201906","funder_id":"https://openalex.org/F4320323370","funder_display_name":"Hainan University"},{"id":"https://openalex.org/G2167794731","display_name":"\u591a\u7ef4\u5ea6\u975e\u5706\u7ed3\u6784\u5316MIMO\u96f7\u8fbe\u53c2\u6570\u4f30\u8ba1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61961013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4144673559","display_name":null,"funder_award_id":"61801076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G445755869","display_name":null,"funder_award_id":"KYQD (ZR)1731","funder_id":"https://openalex.org/F4320323370","funder_display_name":"Hainan University"},{"id":"https://openalex.org/G6438090660","display_name":"MIMO\u8d85\u5bbd\u5e26\u7cbe\u51c6\u5b9e\u65f6PDOA\u8ddf\u968f\u53ca\u534f\u540c\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61861015","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/F4320323370","display_name":"Hainan University","ror":"https://ror.org/03q648j11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1592743642","https://openalex.org/W1963799790","https://openalex.org/W2000539560","https://openalex.org/W2041050174","https://openalex.org/W2063903336","https://openalex.org/W2068039805","https://openalex.org/W2076329543","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2151517138","https://openalex.org/W2162654459","https://openalex.org/W2303541268","https://openalex.org/W2333566682","https://openalex.org/W2559897227","https://openalex.org/W2592171724","https://openalex.org/W2753338871","https://openalex.org/W2763708625","https://openalex.org/W2892433162","https://openalex.org/W2894459806","https://openalex.org/W2902621505","https://openalex.org/W2902839154","https://openalex.org/W2921062571","https://openalex.org/W2954842555"],"related_works":["https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2532156682","https://openalex.org/W2507234158","https://openalex.org/W1512512122","https://openalex.org/W2566126253","https://openalex.org/W2480957843","https://openalex.org/W1992008660","https://openalex.org/W2068941797","https://openalex.org/W2561456314"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3,34,63,85],"novel":[4,35],"robust":[5],"block":[6,36,86],"sparse":[7,37,57,87],"recovery":[8,88],"algorithm":[9],"by":[10],"using":[11],"the":[12,22,27,43,49,56,67,77,98,104],"weighted":[13],"subspace":[14,71],"fitting":[15,72],"(WSF)":[16],"is":[17,45,60,74],"proposed":[18,101],"to":[19,47,96],"deal":[20],"with":[21],"direction-of-arrival":[23],"(DOA)":[24],"problem":[25,59,80],"under":[26],"condition":[28],"of":[29,51,100,106],"unknown":[30,52,107],"mutual":[31,53,108],"coupling.":[32,54,109],"Firstly,":[33],"representation":[38],"signal":[39],"model":[40],"based":[41],"on":[42],"WSF":[44],"established":[46],"settle":[48],"effect":[50],"Then,":[55],"constraint":[58],"investigated,":[61],"and":[62,70],"regularization":[64],"criterion":[65],"between":[66],"sparsity":[68],"penalty":[69],"error":[73],"given.":[75],"Finally,":[76],"DOA":[78],"estimation":[79],"can":[81],"be":[82],"converted":[83],"into":[84],"problem.":[89],"Some":[90],"experimental":[91],"results":[92],"are":[93],"carried":[94],"out":[95],"prove":[97],"performance":[99],"method":[102],"in":[103],"case":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":13}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}