{"id":"https://openalex.org/W4391021692","doi":"https://doi.org/10.1109/tvt.2024.3355970","title":"A Gridless DOA Estimation Method Based on Residual Attention Network and Transfer Learning","display_name":"A Gridless DOA Estimation Method Based on Residual Attention Network and Transfer Learning","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4391021692","doi":"https://doi.org/10.1109/tvt.2024.3355970"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3355970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3355970","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","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":false,"raw_author_name":"Xiaohuan Wu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3190-6115","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107093996","display_name":"Jiang Wang","orcid":"https://orcid.org/0009-0009-4736-1464"},"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":"Jiang Wang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0009-4736-1464","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107093136","display_name":"Yang Xu","orcid":"https://orcid.org/0009-0003-9865-4570"},"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":"Xu Yang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0003-9865-4570","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101634633","display_name":"Feng Tian","orcid":"https://orcid.org/0000-0001-8116-9681"},"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":"Feng Tian","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8116-9681","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":5.0678,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96129997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"73","issue":"6","first_page":"9103","last_page":"9108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.994700014591217,"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":0.994700014591217,"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":0.9842000007629395,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/residual","display_name":"Residual","score":0.7687708139419556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097658514976501},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6103861331939697},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5264968276023865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186390280723572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5048335194587708},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5022063255310059},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.46828457713127136},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4661259651184082},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46421316266059875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4385963976383209},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4317362904548645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37950682640075684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3325866162776947},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3228597044944763},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14531779289245605},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11668151617050171}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7687708139419556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097658514976501},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6103861331939697},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5264968276023865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186390280723572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5048335194587708},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5022063255310059},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.46828457713127136},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4661259651184082},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46421316266059875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4385963976383209},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4317362904548645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37950682640075684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3325866162776947},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3228597044944763},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14531779289245605},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11668151617050171},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3355970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3355970","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1952629836","https://openalex.org/W2087543940","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2118693125","https://openalex.org/W2162654459","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2357400875","https://openalex.org/W2587337177","https://openalex.org/W2605565881","https://openalex.org/W2897361856","https://openalex.org/W2973265422","https://openalex.org/W2978977033","https://openalex.org/W3041619073","https://openalex.org/W3094320653","https://openalex.org/W3104742473","https://openalex.org/W3155195349","https://openalex.org/W3180459991","https://openalex.org/W4205430968","https://openalex.org/W4293193223","https://openalex.org/W4313140310","https://openalex.org/W4319989949","https://openalex.org/W4322730826","https://openalex.org/W4360584650","https://openalex.org/W4361855901","https://openalex.org/W4372260442","https://openalex.org/W4381745204","https://openalex.org/W4387272200"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2801687921","https://openalex.org/W2132370204","https://openalex.org/W2372955329","https://openalex.org/W2911028587"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"propose":[4],"a":[5],"novel":[6],"deep":[7],"learning":[8,26],"(DL)-based":[9],"gridless":[10],"direction-of-arrival":[11],"(DOA)":[12],"estimation":[13,35],"method":[14,30,90],"for":[15],"generalized":[16],"linear":[17],"arrays":[18],"using":[19],"residual":[20],"attention":[21],"network":[22,63],"(RAN)":[23],"and":[24,40,55,62,76,86],"transfer":[25],"(TL).":[27],"The":[28,80],"proposed":[29],"can":[31],"improve":[32],"the":[33,49,53,57,68,74,84],"DOA":[34],"performance":[36],"in":[37,52],"both":[38],"low":[39],"high":[41],"signal-to-noise":[42],"ratio":[43],"(SNR)":[44],"regions":[45],"by":[46],"focusing":[47],"on":[48],"important":[50],"features":[51],"input":[54],"avoiding":[56],"problems":[58],"of":[59,70,78,88],"gradient":[60],"vanishing":[61],"degradation.":[64],"Moreover,":[65],"introduce":[67],"idea":[69],"TL":[71],"to":[72],"reduce":[73],"complexity":[75],"costs":[77],"training.":[79],"experimental":[81],"results":[82],"demonstrate":[83],"effectiveness":[85],"superiority":[87],"our":[89],"compared":[91],"with":[92],"existing":[93],"methods.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
