{"id":"https://openalex.org/W2621353151","doi":"https://doi.org/10.1109/twc.2017.2710049","title":"Millimeter-Wave Channel Estimation Based on 2-D Beamspace MUSIC Method","display_name":"Millimeter-Wave Channel Estimation Based on 2-D Beamspace MUSIC Method","publication_year":2017,"publication_date":"2017-06-02","ids":{"openalex":"https://openalex.org/W2621353151","doi":"https://doi.org/10.1109/twc.2017.2710049","mag":"2621353151"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2017.2710049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2710049","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_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 Wireless Communications","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/A5053834265","display_name":"Ziyu Guo","orcid":"https://orcid.org/0000-0002-4792-1398"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guo","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382658","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-2945-9240"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Electrical Engineering Department, Columbia University, New York City, NY, USA","Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2945-9240","affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Columbia University, New York City, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wei Heng","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Heng","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1698,"has_fulltext":false,"cited_by_count":199,"citation_normalized_percentile":{"value":0.97689697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"8","first_page":"5384","last_page":"5394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958999752998352,"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/T10860","display_name":"Speech and Audio Processing","score":0.9955999851226807,"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/estimator","display_name":"Estimator","score":0.728302001953125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468881368637085},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5885122418403625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5773575901985168},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.47109732031822205},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.46198827028274536},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.45304185152053833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.321871817111969},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26542431116104126},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09474393725395203}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.728302001953125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468881368637085},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5885122418403625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5773575901985168},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.47109732031822205},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.46198827028274536},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.45304185152053833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.321871817111969},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26542431116104126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09474393725395203},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2017.2710049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2710049","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_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 Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1730703028","display_name":null,"funder_award_id":"61329101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6554180069","display_name":null,"funder_award_id":"00201510","funder_id":"https://openalex.org/F4320327783","funder_display_name":"Leading Talents Program of Guangdong Province"},{"id":"https://openalex.org/G8217730912","display_name":"\u57fa\u4e8e\u80fd\u6548\u7684\u7f51\u7edc\u4f53\u7cfb\u7ed3\u6784\u53ca\u8d44\u6e90\u5206\u914d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61471115","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/F4320327783","display_name":"Leading Talents Program of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W653761051","https://openalex.org/W776482163","https://openalex.org/W905396345","https://openalex.org/W1495489371","https://openalex.org/W1968160461","https://openalex.org/W1981661761","https://openalex.org/W1982222550","https://openalex.org/W1988479411","https://openalex.org/W1991056455","https://openalex.org/W1992723673","https://openalex.org/W1992867392","https://openalex.org/W1999153524","https://openalex.org/W2001948055","https://openalex.org/W2011836673","https://openalex.org/W2045658304","https://openalex.org/W2053521124","https://openalex.org/W2082969828","https://openalex.org/W2092397817","https://openalex.org/W2095843437","https://openalex.org/W2106400463","https://openalex.org/W2111953900","https://openalex.org/W2115147171","https://openalex.org/W2120549790","https://openalex.org/W2128131274","https://openalex.org/W2128865660","https://openalex.org/W2137628444","https://openalex.org/W2138020668","https://openalex.org/W2141164591","https://openalex.org/W2149755721","https://openalex.org/W2150245139","https://openalex.org/W2152687999","https://openalex.org/W2166486216","https://openalex.org/W2198911682","https://openalex.org/W2294344867","https://openalex.org/W4250955649","https://openalex.org/W6697176989"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386"],"abstract_inverted_index":{"Due":[0],"to":[1,42,58,103],"the":[2,18,23,34,44,55,60,68,78,86,90,94,104,114,124,137,147,152,162,185],"spatial":[3],"sparsity":[4],"caused":[5,76],"by":[6,16,77],"severe":[7],"propagation":[8],"loss,":[9],"mm-wave":[10,138,167],"channel":[11,168],"estimation":[12],"can":[13,145],"be":[14],"performed":[15],"estimating":[17],"directions":[19,46],"and":[20,51,53,133,150,180,183],"gains":[21],"of":[22,49,107,154],"paths":[24],"that":[25,123,161,174],"have":[26],"significant":[27],"power.":[28],"In":[29,80],"this":[30,81],"paper,":[31,82],"we":[32,83,121],"apply":[33],"beamspace":[35,69,165],"2-D":[36,164],"multiple":[37],"signal":[38],"classification":[39],"(MUSIC)":[40],"method":[41,57,71],"estimate":[43,59],"path":[45,61,109,156],"(the":[47],"angles":[48],"departure":[50],"arrival)":[52],"use":[54],"least-squares":[56],"gains.":[62],"Different":[63],"from":[64],"its":[65],"element-space":[66],"counterpart,":[67],"MUSIC":[70,95,166],"may":[72],"exhibit":[73],"spectrum":[74,96,148],"ambiguity":[75,99,149],"beamformers.":[79],"therefore":[84],"analyze":[85],"sufficient":[87],"conditions":[88],"on":[89,113,177],"beamformers":[91],"under":[92],"which":[93,100,129],"has":[97],"no":[98],"also":[101],"leads":[102],"maximum":[105],"number":[106,153],"resolvable":[108,155],"directions.":[110,157],"Moreover,":[111],"based":[112,176],"uniform":[115],"linear":[116],"array":[117],"with":[118,141],"half-wavelength":[119],"spacing,":[120],"show":[122],"discrete":[125],"Fourier":[126],"transform":[127],"beamformers,":[128],"are":[130,175],"naturally":[131],"analog":[132],"often":[134],"employed":[135],"in":[136,184],"communication":[139],"systems":[140],"hybrid":[142],"precoding":[143],"structure,":[144],"avoid":[146],"maximize":[151],"Simulation":[158],"results":[159],"demonstrate":[160],"proposed":[163],"estimator":[169],"significantly":[170],"outperforms":[171],"existing":[172,195],"estimators":[173],"beam":[178],"training":[179,191],"sparse":[181],"recovery;":[182],"meantime,":[186],"it":[187],"requires":[188],"much":[189],"less":[190],"slots":[192],"than":[193],"these":[194],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}