{"id":"https://openalex.org/W4390285605","doi":"https://doi.org/10.1109/twc.2023.3339803","title":"Model Order Estimation in the Presence of Multipath Interference using Residual Convolutional Neural Networks","display_name":"Model Order Estimation in the Presence of Multipath Interference using Residual Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390285605","doi":"https://doi.org/10.1109/twc.2023.3339803"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3339803","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.00728","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102957205","display_name":"Jianyuan Yu","orcid":"https://orcid.org/0000-0002-2447-8143"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"funder","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianyuan Yu","raw_affiliation_strings":["The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033761650","display_name":"William W. Howard","orcid":"https://orcid.org/0000-0001-7958-3218"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"funder","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William W. Howard","raw_affiliation_strings":["The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066526042","display_name":"Yue Xu","orcid":"https://orcid.org/0000-0001-6492-178X"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"funder","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Xu","raw_affiliation_strings":["The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052487611","display_name":"R. Michael Buehrer","orcid":"https://orcid.org/0000-0002-7196-1154"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"funder","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Michael Buehrer","raw_affiliation_strings":["The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"The Bradley Department of ECE, Wireless@Virginia Tech, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":65},"biblio":{"volume":"23","issue":"7","first_page":"7349","last_page":"7361"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9943,"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/T10860","display_name":"Speech and Audio Processing","score":0.9943,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9936,"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":0.9794,"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/direction-of-arrival","display_name":"Direction of arrival","score":0.48597348},{"id":"https://openalex.org/keywords/array-processing","display_name":"Array Processing","score":0.42605922},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4238313},{"id":"https://openalex.org/keywords/multipath-interference","display_name":"Multipath interference","score":0.4162835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250444},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.72487974},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6716899},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6665801},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.62499094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.55801255},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.48597348},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.45716962},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44361854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4349087},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43254274},{"id":"https://openalex.org/C2778545087","wikidata":"https://www.wikidata.org/wiki/Q4795883","display_name":"Array processing","level":4,"score":0.42605922},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4238313},{"id":"https://openalex.org/C174749922","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath interference","level":4,"score":0.4162835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31751823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22541365},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20624694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19038951},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.18361306},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0774079},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3339803","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2209.00728","pdf_url":"https://arxiv.org/pdf/2209.00728","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2209.00728","pdf_url":"https://arxiv.org/pdf/2209.00728","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.4}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388422359","https://openalex.org/W4310580411","https://openalex.org/W4300439709","https://openalex.org/W3006354682","https://openalex.org/W2761141501","https://openalex.org/W2611706228","https://openalex.org/W2370068260","https://openalex.org/W2360784882","https://openalex.org/W2034548077","https://openalex.org/W2012771031"],"abstract_inverted_index":{"Model":[0],"order":[1],"estimation":[2,112,207],"(MOE)":[3],"is":[4,22,42,46],"often":[5],"a":[6,125,192],"pre-requisite":[7],"for":[8,30],"Direction":[9],"of":[10,34,38,49,68,81,98,114,121,133,141,158,167,173,175,194],"Arrival":[11],"(DoA)":[12],"estimation.":[13],"Due":[14],"to":[15,26,109,116,129],"limits":[16],"imposed":[17],"by":[18,144,162],"array":[19,195],"geometry,":[20],"it":[21],"typically":[23],"not":[24],"possible":[25],"estimate":[27,37],"spatial":[28],"parameters":[29],"an":[31,36,149],"arbitrary":[32],"number":[33,157,166],"sources;":[35],"the":[39,47,51,66,82,96,119,134,139,142,156,163,165,171,176,185,199],"signal":[40,54,151,209],"model":[41,55,135],"usually":[43],"required.":[44],"MOE":[45,64],"process":[48],"selecting":[50],"most":[52],"likely":[53],"from":[56],"several":[57],"candidates.":[58],"While":[59],"classic":[60,83],"methods":[61],"fail":[62],"at":[63],"in":[65,118],"presence":[67,120],"coherent":[69,122],"multipath":[70],"interference,":[71],"data-driven":[72],"supervised":[73],"learning":[74],"models":[75],"can":[76,197],"solve":[77],"this":[78],"problem.":[79],"Instead":[80],"MLP":[84],"(Multiple":[85],"Layer":[86],"Perceptions)":[87],"or":[88],"CNN":[89],"(Convolutional":[90],"Neural":[91,101],"Networks)":[92],"architectures,":[93],"we":[94,182],"propose":[95],"application":[97],"Residual":[99],"Convolutional":[100],"Networks":[102],"(RCNN),":[103],"with":[104,178],"grouped":[105],"symmetric":[106],"kernel":[107],"filters":[108],"deliver":[110],"state-of-art":[111],"accuracy":[113],"up":[115],"95.2%":[117],"multipath,":[123],"and":[124,170,202,208],"weighted":[126],"loss":[127],"function":[128],"eliminate":[130],"underestimation":[131],"error":[132],"order.":[136],"We":[137],"show":[138,183],"benefit":[140],"approach":[143],"demonstrating":[145],"its":[146],"impact":[147],"on":[148],"overall":[150],"processing":[152],"flow":[153],"that":[154,184],"determines":[155],"total":[159],"signals":[160],"received":[161],"array,":[164],"independent":[168],"sources,":[169],"association":[172,210],"each":[174],"paths":[177],"those":[179],"sources.":[180],"Moreover,":[181],"proposed":[186],"estimator":[187],"provides":[188,204],"accurate":[189],"performance":[190],"over":[191],"variety":[193],"types,":[196],"identify":[198],"overloaded":[200],"scenario,":[201],"ultimately":[203],"strong":[205],"DoA":[206],"performance.":[211]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4390285605","counts_by_year":[],"updated_date":"2025-04-08T10:05:22.491873","created_date":"2023-12-28"}