{"id":"https://openalex.org/W4390417604","doi":"https://doi.org/10.1109/icait59485.2023.10367306","title":"Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning","display_name":"Separation of Mixed Near-field and Far-field Sources and DOA Estimation based on Deep Learning","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4390417604","doi":"https://doi.org/10.1109/icait59485.2023.10367306"},"language":"en","primary_location":{"id":"doi:10.1109/icait59485.2023.10367306","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icait59485.2023.10367306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-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/A5073550769","display_name":"Meibin Qi","orcid":"https://orcid.org/0000-0001-9074-211X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meibin Qi","raw_affiliation_strings":["Hefei University of Technology,Institude of Signal and Information Processing,Hefei,China,230601"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Institude of Signal and Information Processing,Hefei,China,230601","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803833","display_name":"Weijie Ren","orcid":"https://orcid.org/0000-0003-1659-3165"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Ren","raw_affiliation_strings":["Hefei University of Technology,Institude of Signal and Information Processing,Hefei,China,230601"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Institude of Signal and Information Processing,Hefei,China,230601","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103248565","display_name":"Houhong Xiang","orcid":"https://orcid.org/0000-0002-1293-0921"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houhong Xiang","raw_affiliation_strings":["Hefei University of Technology,Radar Technology and Innovative Application Laboratory,Hefei,China,230601"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Radar Technology and Innovative Application Laboratory,Hefei,China,230601","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073550769"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.2068,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48782525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"49","issue":null,"first_page":"226","last_page":"233"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/near-and-far-field","display_name":"Near and far field","score":0.7106494903564453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668899059295654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5837966799736023},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5830241441726685},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.533854603767395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5186371207237244},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5086916089057922},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.491806298494339},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.4256896376609802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30907726287841797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18688631057739258},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1650708019733429},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1326873004436493},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06563001871109009},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.061195045709609985}],"concepts":[{"id":"https://openalex.org/C25227671","wikidata":"https://www.wikidata.org/wiki/Q13405516","display_name":"Near and far field","level":2,"score":0.7106494903564453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668899059295654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5837966799736023},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5830241441726685},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.533854603767395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5186371207237244},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5086916089057922},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.491806298494339},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.4256896376609802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30907726287841797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18688631057739258},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1650708019733429},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1326873004436493},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06563001871109009},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.061195045709609985},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait59485.2023.10367306","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icait59485.2023.10367306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2305845050","display_name":null,"funder_award_id":"62201189,61771180","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":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1834265579","https://openalex.org/W1978683583","https://openalex.org/W1986216092","https://openalex.org/W1997483434","https://openalex.org/W2049850673","https://openalex.org/W2054119616","https://openalex.org/W2069930369","https://openalex.org/W2113638573","https://openalex.org/W2115485558","https://openalex.org/W2127695678","https://openalex.org/W2165577430","https://openalex.org/W2803130179","https://openalex.org/W2810871807","https://openalex.org/W2897361856","https://openalex.org/W2915199461","https://openalex.org/W2952502806","https://openalex.org/W2996722594","https://openalex.org/W3006883969","https://openalex.org/W3047582854","https://openalex.org/W3099449105","https://openalex.org/W3118567358"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W1984947854"],"abstract_inverted_index":{"Aiming":[0],"at":[1,55],"the":[2,25,32,36,39,45,56,59,62,84,95,99,103,118,130],"common":[3],"mixed":[4,14,33,87,104],"sources":[5,15,34,88,105],"including":[6],"near-field(NF)":[7],"and":[8,28,49,91,107,138],"far-field(FF),":[9],"this":[10],"paper":[11],"proposes":[12],"a":[13,67,108],"direction-of-arrival(DOA)":[16],"estimation":[17,64,85,136,145],"method":[18,78,120,132],"based":[19],"on":[20],"Deep":[21],"Learning(DL).":[22],"By":[23],"using":[24],"real":[26],"part":[27,30],"imaginary":[29],"of":[31,38,58,86,111],"as":[35,98],"input":[37],"neural":[40],"network,":[41],"after":[42],"full":[43],"separation,":[44],"expected":[46],"FF":[47],"signals":[48,51],"NF":[50],"can":[52,70],"be":[53,71],"obtained":[54],"output":[57],"network.":[60],"Then,":[61],"traditional":[63],"methods":[65],"for":[66],"single":[68],"source":[69],"used":[72],"to":[73,101],"estimate":[74],"DOA.":[75],"The":[76],"proposed":[77,119,131],"optimizes":[79],"some":[80],"defects":[81],"existing":[82],"in":[83,94],"containing":[89],"near":[90],"far":[92],"fields":[93],"past,":[96],"such":[97],"inability":[100],"separate":[102],"effectively,":[106],"large":[109],"loss":[110],"array":[112],"aperture.":[113],"Simulation":[114],"results":[115],"show":[116],"that":[117],"is":[121],"effective.":[122],"Under":[123],"different":[124],"SNR":[125],"or":[126],"channel":[127],"error":[128],"conditions,":[129],"has":[133],"better":[134],"DOA":[135,144],"accuracy":[137],"generalization":[139],"ability":[140],"than":[141],"most":[142],"super-resolution":[143],"algorithms.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
