{"id":"https://openalex.org/W4383536381","doi":"https://doi.org/10.3390/s23136196","title":"Reweighted Off-Grid Sparse Spectrum Fitting for DOA Estimation in Sensor Array with Unknown Mutual Coupling","display_name":"Reweighted Off-Grid Sparse Spectrum Fitting for DOA Estimation in Sensor Array with Unknown Mutual Coupling","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4383536381","doi":"https://doi.org/10.3390/s23136196","pmid":"https://pubmed.ncbi.nlm.nih.gov/37448043"},"language":"en","primary_location":{"id":"doi:10.3390/s23136196","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136196","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6196/pdf?version=1688639402","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/13/6196/pdf?version=1688639402","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100739406","display_name":"Liangliang Li","orcid":"https://orcid.org/0000-0001-7207-1260"},"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":"Liangliang Li","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, 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":true,"raw_author_name":"Xianpeng Wang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, 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, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064789446","display_name":"Xiang Lan","orcid":"https://orcid.org/0000-0002-4769-3639"},"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":"Xiang Lan","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China"],"raw_orcid":"https://orcid.org/0000-0002-4769-3639","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087493208","display_name":"Gang Xu","orcid":"https://orcid.org/0000-0001-9875-051X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xu","raw_affiliation_strings":["State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China"],"raw_orcid":"https://orcid.org/0000-0001-9875-051X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","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":["Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101947451"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.174,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38598521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"13","first_page":"6196","last_page":"6196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":1.0,"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":1.0,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9979000091552734,"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/grid","display_name":"Grid","score":0.6747921705245972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6306913495063782},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.6298395395278931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6013661026954651},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5984765291213989},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5776698589324951},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5630021095275879},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.503433883190155},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4668460786342621},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4562273621559143},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4456751346588135},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"Mutual coherence","score":0.4241555333137512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34166574478149414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24068188667297363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23340556025505066},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.20952025055885315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14491787552833557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1307794153690338},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0962231457233429},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07503315806388855}],"concepts":[{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6747921705245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306913495063782},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.6298395395278931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6013661026954651},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5984765291213989},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5776698589324951},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5630021095275879},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.503433883190155},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4668460786342621},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4562273621559143},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4456751346588135},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.4241555333137512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34166574478149414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24068188667297363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23340556025505066},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.20952025055885315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14491787552833557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1307794153690338},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0962231457233429},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07503315806388855},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003199","descriptor_name":"Computer Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003199","descriptor_name":"Computer Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003199","descriptor_name":"Computer Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013017","descriptor_name":"Sound Localization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013017","descriptor_name":"Sound Localization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013017","descriptor_name":"Sound Localization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23136196","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136196","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6196/pdf?version=1688639402","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37448043","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37448043","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10346485","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10346485","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10346485/pdf/sensors-23-06196.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:4634c186a21542a890ecaa88dee04707","is_oa":true,"landing_page_url":"https://doaj.org/article/4634c186a21542a890ecaa88dee04707","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 13, p 6196 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/13/6196/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23136196","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 13; Pages: 6196","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23136196","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136196","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6196/pdf?version=1688639402","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"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/G2488516488","display_name":null,"funder_award_id":"62101088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2610718009","display_name":null,"funder_award_id":"No. 61801076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G730422222","display_name":null,"funder_award_id":"No. 61861015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7882733881","display_name":null,"funder_award_id":"No. 61961013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8728238109","display_name":null,"funder_award_id":"No. 61701144","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383536381.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1940221538","https://openalex.org/W1963799790","https://openalex.org/W1978571567","https://openalex.org/W1980263618","https://openalex.org/W1995943071","https://openalex.org/W2000539560","https://openalex.org/W2019945856","https://openalex.org/W2028823365","https://openalex.org/W2063903336","https://openalex.org/W2113638573","https://openalex.org/W2118270194","https://openalex.org/W2128131274","https://openalex.org/W2146230273","https://openalex.org/W2150883631","https://openalex.org/W2165615111","https://openalex.org/W2170762581","https://openalex.org/W2303541268","https://openalex.org/W2513373031","https://openalex.org/W2513449410","https://openalex.org/W2753338871","https://openalex.org/W2793941294","https://openalex.org/W2797475427","https://openalex.org/W2803130179","https://openalex.org/W2891282436","https://openalex.org/W2893100725","https://openalex.org/W2910381347","https://openalex.org/W2913205617","https://openalex.org/W2939063268","https://openalex.org/W3008539048","https://openalex.org/W3009889961","https://openalex.org/W3097932407","https://openalex.org/W3102166889","https://openalex.org/W3146703290","https://openalex.org/W3180404591","https://openalex.org/W3194646605","https://openalex.org/W4206399727","https://openalex.org/W4285119290","https://openalex.org/W4294811438","https://openalex.org/W4308455801","https://openalex.org/W4312588616","https://openalex.org/W4312625718","https://openalex.org/W6634332597","https://openalex.org/W6847980737"],"related_works":["https://openalex.org/W2117029045","https://openalex.org/W2013554099","https://openalex.org/W2767832924","https://openalex.org/W2904632759","https://openalex.org/W2938353867","https://openalex.org/W4310679452","https://openalex.org/W3135825101","https://openalex.org/W2810730439","https://openalex.org/W1922757677","https://openalex.org/W2027740031"],"abstract_inverted_index":{"In":[0],"the":[1,39,71,82,99,105,110,114,130,140,146,157,160,166,172,195,198],"environment":[2],"of":[3,41,109,159,197],"unknown":[4,49,83],"mutual":[5,50,84],"coupling,":[6],"many":[7],"works":[8],"on":[9,29],"direction-of-arrival":[10],"(DOA)":[11],"estimation":[12,44,152],"with":[13,48,156],"sensor":[14,46],"array":[15,47,76],"are":[16,26],"prone":[17],"to":[18,80,128,144,165],"performance":[19],"degradation":[20],"or":[21],"even":[22],"failure.":[23],"Moreover,":[24],"there":[25],"few":[27],"literatures":[28],"off-grid":[30,42,58,90,100,150,167],"direction":[31,189],"finding":[32],"using":[33],"regularized":[34],"sparse":[35,117,131,162],"recovery":[36,93],"technology.":[37],"Therefore,":[38],"scenario":[40],"DOA":[43,151,182],"in":[45,66],"coupling":[51,85],"is":[52,64,78,95,126,137],"investigated,":[53],"and":[54,169,177],"then":[55],"a":[56,88,122,134],"reweighted":[57,170],"Sparse":[59],"Spectrum":[60],"Fitting":[61],"(Re-OGSpSF)":[62],"approach":[63],"developed":[65,138],"this":[67],"article.":[68],"Inspired":[69],"by":[70,97,139],"selection":[72],"matrix,":[73],"an":[74],"undisturbed":[75],"output":[77],"formed":[79],"remove":[81],"effect.":[86],"Subsequently,":[87],"refined":[89],"SpSF":[91],"(OGSpSF)":[92],"model":[94],"structured":[96],"integrating":[98],"error":[101],"term":[102,112],"obtained":[103],"from":[104],"first-order":[106],"Taylor":[107],"approximation":[108],"higher-order":[111],"into":[113],"underlying":[115],"on-grid":[116],"representation":[118,168],"model.":[119],"After":[120],"that,":[121],"novel":[123],"Re-OGSpSF":[124],"framework":[125],"formulated":[127],"recover":[129],"vectors,":[132],"where":[133],"weighted":[135],"matrix":[136],"MUSIC-like":[141],"spectrum":[142],"function":[143],"enhance":[145],"solution's":[147],"sparsity.":[148],"Ultimately,":[149],"can":[153,175],"be":[154],"realized":[155],"help":[158],"recovered":[161],"vectors.":[163],"Thanks":[164],"strategy,":[171],"proposed":[173,199],"method":[174],"effectively":[176],"efficiently":[178],"achieve":[179],"high-precision":[180],"continuous":[181],"estimation,":[183],"making":[184],"it":[185],"favorable":[186],"for":[187],"real-time":[188],"finding.":[190],"The":[191],"simulation":[192],"results":[193],"validate":[194],"superiority":[196],"method.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}