{"id":"https://openalex.org/W2897315508","doi":"https://doi.org/10.1109/lcomm.2018.2875716","title":"Semi-Blind Millimeter-Wave Channel Estimation Using Atomic Norm Minimization","display_name":"Semi-Blind Millimeter-Wave Channel Estimation Using Atomic Norm Minimization","publication_year":2018,"publication_date":"2018-10-12","ids":{"openalex":"https://openalex.org/W2897315508","doi":"https://doi.org/10.1109/lcomm.2018.2875716","mag":"2897315508"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2018.2875716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2018.2875716","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5078671856","display_name":"Hongyun Chu","orcid":"https://orcid.org/0000-0003-1284-4000"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyun Chu","raw_affiliation_strings":["Center for Frontier Science and Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Center for Frontier Science and Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665342","display_name":"Le Zheng","orcid":"https://orcid.org/0000-0002-4972-9199"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Le Zheng","raw_affiliation_strings":["Electrical Engineering Department, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111890452","display_name":"Xiaodong Wang","orcid":null},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Electrical Engineering Department, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078671856"],"corresponding_institution_ids":["https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":1.31,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8193622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"2535","last_page":"2538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9984999895095825,"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/estimator","display_name":"Estimator","score":0.6477352976799011},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5864531993865967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5844259262084961},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5685234069824219},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.5682110786437988},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5416086912155151},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.539138674736023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5346977114677429},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5155929923057556},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5058386325836182},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5050747990608215},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4152151346206665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37375104427337646},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17811822891235352},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11098653078079224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09400710463523865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08243510127067566}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6477352976799011},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5864531993865967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5844259262084961},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5685234069824219},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.5682110786437988},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5416086912155151},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.539138674736023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346977114677429},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5155929923057556},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5058386325836182},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5050747990608215},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4152151346206665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37375104427337646},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17811822891235352},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11098653078079224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09400710463523865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08243510127067566},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2018.2875716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2018.2875716","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"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"}],"funders":[{"id":"https://openalex.org/F4320327783","display_name":"Leading Talents Program of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1529522789","https://openalex.org/W1991056455","https://openalex.org/W2006579621","https://openalex.org/W2045658304","https://openalex.org/W2051459314","https://openalex.org/W2075313995","https://openalex.org/W2111953900","https://openalex.org/W2128865660","https://openalex.org/W2135046866","https://openalex.org/W2137628444","https://openalex.org/W2143075842","https://openalex.org/W2336403911","https://openalex.org/W2339667469","https://openalex.org/W2486432451","https://openalex.org/W2528141221","https://openalex.org/W2621353151","https://openalex.org/W2724191955","https://openalex.org/W2741857180"],"related_works":["https://openalex.org/W2207919472","https://openalex.org/W2098528027","https://openalex.org/W2625259661","https://openalex.org/W2544771389","https://openalex.org/W2388344948","https://openalex.org/W2048444161","https://openalex.org/W3197592642","https://openalex.org/W1922626558","https://openalex.org/W2353411190","https://openalex.org/W3211590003"],"abstract_inverted_index":{"Exploiting":[0],"the":[1,7,22,37,50,70,82,88,93],"inherent":[2],"sparsity":[3,20],"of":[4,25,87],"millimeter-wave":[5],"channels,":[6],"channel":[8,31,39,52,84],"estimation":[9,53,85],"problem":[10],"is":[11,33,42],"formulated":[12,43,51],"as":[13,44],"an":[14],"atomic":[15],"norm":[16],"minimization":[17],"that":[18],"enhances":[19],"in":[21],"continuous":[23],"angles":[24],"arrival":[26],"and":[27],"departure.":[28],"A":[29],"semi-blind":[30],"estimator":[32],"developed":[34],"to":[35,73,80],"track":[36],"time-varying":[38],"dynamics,":[40],"which":[41,68],"a":[45,57],"non-convex":[46,66],"problem.":[47],"To":[48],"solve":[49],"problem,":[54],"we":[55],"develop":[56],"computationally":[58],"efficient":[59],"conjugate":[60],"gradient":[61],"descent":[62],"method":[63],"based":[64],"on":[65],"factorization":[67],"restricts":[69],"search":[71],"space":[72],"low-rank":[74],"matrices.":[75],"Simulation":[76],"results":[77],"are":[78],"presented":[79],"illustrate":[81],"superior":[83],"performance":[86],"proposed":[89],"algorithms":[90],"compared":[91],"with":[92,97],"existing":[94],"compressed-sensing-based":[95],"estimators":[96],"finely":[98],"quantized":[99],"angle":[100],"grids.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}