{"id":"https://openalex.org/W7153175821","doi":"https://doi.org/10.1109/jiot.2026.3682726","title":"Parameters Estimation of Coherently Distributed Source for Devices Location Based on Dual Deep Neural Network","display_name":"Parameters Estimation of Coherently Distributed Source for Devices Location Based on Dual Deep Neural Network","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7153175821","doi":"https://doi.org/10.1109/jiot.2026.3682726"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3682726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3682726","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5055984340","display_name":"Yinian Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinian Liang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1498-1220","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058218225","display_name":"Fangjiong Chen","orcid":"https://orcid.org/0000-0003-1031-492X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjiong Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1031-492X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-9797-5407"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9797-5407","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133321615","display_name":"Hua Yu","orcid":"https://orcid.org/0000-0002-0231-2978"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0231-2978","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fei Ji","orcid":"https://orcid.org/0000-0003-1549-3322"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ji","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1549-3322","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40616909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"13","first_page":"28392","last_page":"28406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.08320000022649765,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.08160000294446945,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5728999972343445},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5634999871253967},{"id":"https://openalex.org/keywords/source-model","display_name":"Source model","score":0.4092999994754791},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3637999892234802},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3549000024795532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3431999981403351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091999888420105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5728999972343445},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43070000410079956},{"id":"https://openalex.org/C2985998994","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Source model","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3549000024795532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3154999911785126},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.28999999165534973},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3682726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3682726","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2935957626","display_name":null,"funder_award_id":"62192712","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3023539363","display_name":null,"funder_award_id":"AB25069510","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"},{"id":"https://openalex.org/G3513659864","display_name":null,"funder_award_id":"62571200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4312668109","display_name":null,"funder_award_id":"2024A1515011107","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4526937588","display_name":null,"funder_award_id":"62271208","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/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,28,134,194],"dual":[4],"deep":[5],"neural":[6],"network":[7],"(DNN)":[8],"is":[9,31,98],"proposed":[10,106,147,167,178],"to":[11,46,61,100,162],"simultaneously":[12,157],"estimate":[13,151],"the":[14,51,56,63,109,138,146,182],"central":[15],"direction-of-arrival":[16],"(DOA)":[17],"angle":[18,57],"and":[19,174],"angular":[20,44,67,77,110,140,196],"spread":[21,68,111,197],"of":[22,36,137,154,191],"coherently":[23],"distributed":[24,116],"(CD)":[25],"sources.":[26],"First,":[27],"DNN":[29,80,148],"subnetwork":[30,65],"trained":[32],"on":[33],"covariance":[34],"matrices":[35],"received":[37],"signals":[38],"from":[39],"CD":[40,155],"sources":[41,87,156],"under":[42,193],"different":[43],"distributions":[45],"produce":[47],"central-angle":[48],"estimates.":[49],"Meanwhile,":[50],"same":[52],"data,":[53],"together":[54],"with":[55,185],"labels,":[58],"are":[59,74],"used":[60],"train":[62],"second":[64],"for":[66,85],"estimation.":[69,104],"Because":[70],"fixed":[71],"grid":[72],"points":[73],"applied":[75],"in":[76,114,124,172],"space":[78],"during":[79],"training,":[81],"DOA":[82,103,121],"estimation":[83,112,122],"performance":[84],"off-grid":[86,93],"may":[88],"be":[89],"degraded.":[90],"To":[91],"address":[92],"sources,":[94],"an":[95,186],"interpolation":[96],"scheme":[97],"employed":[99],"achieve":[101],"higher-resolution":[102],"The":[105,166,177],"method":[107,149,168,179],"addresses":[108],"problem":[113],"deep-learning-based":[115],"source":[117,139],"estimation,":[118],"enabling":[119],"high-accuracy":[120],"even":[123],"large-angular-spread":[125],"scenarios.":[126,176],"Moreover,":[127],"unlike":[128],"conventional":[129],"subspace":[130],"methods":[131,184],"that":[132],"require":[133],"priori":[135],"knowledge":[136],"distribution":[141],"or":[142],"probability":[143],"density":[144],"function,":[145],"can":[150],"multiple":[152],"types":[153],"without":[158],"such":[159],"assumptions,":[160],"owing":[161],"its":[163],"generalization":[164],"ability.":[165],"has":[169],"been":[170],"verified":[171],"simulations":[173],"realworld":[175],"consistently":[180],"outperforms":[181],"state-of-the-art":[183],"average":[187],"RMSE":[188],"(Root-Mean-Square-Error)":[189],"reduction":[190],"0.47\u00b0":[192],"large":[195],"10\u00b0.":[198]},"counts_by_year":[],"updated_date":"2026-06-27T06:13:17.587685","created_date":"2026-04-11T00:00:00"}