{"id":"https://openalex.org/W2953484398","doi":"https://doi.org/10.1109/vtcspring.2019.8746362","title":"NLOS Identification for Wideband mmWave Systems at 28 GHz","display_name":"NLOS Identification for Wideband mmWave Systems at 28 GHz","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2953484398","doi":"https://doi.org/10.1109/vtcspring.2019.8746362","mag":"2953484398"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","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/A5001594819","display_name":"An Huang","orcid":"https://orcid.org/0000-0002-7383-5346"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"An Huang","raw_affiliation_strings":["Key Lab of Universal Wireless Communications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Universal Wireless Communications, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777331","display_name":"Lei Tian","orcid":"https://orcid.org/0000-0001-6854-6075"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tian","raw_affiliation_strings":["State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024734378","display_name":"Tao Jiang","orcid":"https://orcid.org/0000-0001-5369-8068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Jiang","raw_affiliation_strings":["Key Lab of Universal Wireless Communications, Ministry of Education, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Universal Wireless Communications, Ministry of Education, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434769","display_name":"Jianhua Zhang","orcid":"https://orcid.org/0000-0002-6492-3846"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhang","raw_affiliation_strings":["State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001594819"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2108,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79698358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9994999766349792,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9994000196456909,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.9966999888420105,"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/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.9539773464202881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339739203453064},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5685030817985535},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5155748724937439},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46539437770843506},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4548490643501282},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.44140303134918213},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4207225441932678},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4104726314544678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.394118070602417},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3696899116039276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34479135274887085},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2956211566925049},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.24067527055740356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12046760320663452}],"concepts":[{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.9539773464202881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339739203453064},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5685030817985535},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5155748724937439},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46539437770843506},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4548490643501282},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.44140303134918213},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4207225441932678},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4104726314544678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.394118070602417},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3696899116039276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34479135274887085},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2956211566925049},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.24067527055740356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12046760320663452},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2019.8746362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1523455715","https://openalex.org/W1561958173","https://openalex.org/W1678356000","https://openalex.org/W1762283796","https://openalex.org/W1860447447","https://openalex.org/W2060873147","https://openalex.org/W2084503286","https://openalex.org/W2109247412","https://openalex.org/W2122646546","https://openalex.org/W2162718622","https://openalex.org/W2728341763","https://openalex.org/W2786631351","https://openalex.org/W2903146257","https://openalex.org/W3102042721","https://openalex.org/W6631507439","https://openalex.org/W6638051996","https://openalex.org/W6678196408"],"related_works":["https://openalex.org/W2172272784","https://openalex.org/W4307436769","https://openalex.org/W4323793210","https://openalex.org/W3162362331","https://openalex.org/W3143859274","https://openalex.org/W4205171894","https://openalex.org/W2010034250","https://openalex.org/W4386214573","https://openalex.org/W2885196243","https://openalex.org/W2373652993"],"abstract_inverted_index":{"Identifying":[0],"Line-of-Sight":[1],"(LOS)":[2],"and":[3,61,123],"Non-LOS":[4],"(NLOS)":[5],"channel":[6,22,57],"conditions":[7],"is":[8,65,86],"a":[9,78,106],"big":[10],"concern":[11],"in":[12,38],"many":[13],"works.":[14],"In":[15],"this":[16,131],"paper,":[17],"we":[18,46],"aim":[19],"to":[20],"achieve":[21],"classification":[23,79,108],"for":[24,69,73,88],"millimeter":[25],"wave":[26],"(mmWave)":[27],"systems.":[28],"The":[29],"results":[30,92],"of":[31,51,98,130],"mmWave":[32,75],"measurement":[33],"conducted":[34],"at":[35],"28":[36],"GHz":[37],"typical":[39],"shopping":[40],"mall":[41],"scenario":[42],"are":[43],"presented.":[44],"Specifically,":[45],"analyzed":[47],"the":[48,111,128],"identification":[49],"performance":[50,109],"single-":[52],"valued":[53],"feature":[54,113],"extracted":[55],"from":[56],"impulse":[58],"response":[59],"(CIR),":[60],"confirmed":[62],"that":[63,102],"rise-time":[64],"an":[66,94],"attractive":[67],"features":[68],"identification,":[70],"particularly":[71],"precise":[72],"wideband":[74],"signal.":[76],"Furthermore,":[77],"algorithm":[80],"Gradient":[81],"Boosting":[82],"Decision":[83],"Tree":[84],"(GBDT)":[85],"used":[87],"LOS&#x002F;NLOS":[89],"identification.":[90],"Experimental":[91],"demonstrate":[93],"overall":[95],"detection":[96],"accuracy":[97],"97.9\\%,":[99],"which":[100],"shows":[101],"our":[103],"method":[104],"has":[105],"better":[107],"than":[110],"single":[112],"classifier.":[114],"Moreover,":[115],"extensive":[116],"experimental":[117],"evaluation":[118],"considering":[119],"various":[120],"propagation":[121],"distances":[122],"obstruction":[124],"diversity":[125],"have":[126],"validated":[127],"feasibility":[129],"method.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
