{"id":"https://openalex.org/W4226036770","doi":"https://doi.org/10.1109/tvt.2022.3169721","title":"Bayesian Matching Pursuit Based Estimation of Off-Grid Channel for Millimeter Wave Massive MIMO System","display_name":"Bayesian Matching Pursuit Based Estimation of Off-Grid Channel for Millimeter Wave Massive MIMO System","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4226036770","doi":"https://doi.org/10.1109/tvt.2022.3169721"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3169721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3169721","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5047666324","display_name":"You You","orcid":"https://orcid.org/0000-0002-9584-733X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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","GB"],"is_corresponding":false,"raw_author_name":"You You","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K","Purple Mountain, Laboratories, Nanjing, China","LEADS and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9584-733X","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"Purple Mountain, Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"LEADS and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380082","display_name":"Chuan Zhang","orcid":"https://orcid.org/0000-0002-7736-6487"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"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":"Chuan Zhang","raw_affiliation_strings":["LEADS and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7736-6487","affiliations":[{"raw_affiliation_string":"LEADS and the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425578","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0002-4535-3200"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4535-3200","affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6463,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65849482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"71","issue":"11","first_page":"11603","last_page":"11614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/mimo","display_name":"MIMO","score":0.636408269405365},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.608461856842041},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5873135924339294},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5388545393943787},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5297917723655701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5239313244819641},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5149908661842346},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4915531575679779},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45659929513931274},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.37088850140571594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2843483090400696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2545645236968994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1742817759513855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12408336997032166}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.636408269405365},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.608461856842041},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5873135924339294},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5388545393943787},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5297917723655701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5239313244819641},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5149908661842346},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4915531575679779},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45659929513931274},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.37088850140571594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2843483090400696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2545645236968994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1742817759513855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12408336997032166},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2022.3169721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3169721","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:186044","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G252193065","display_name":"DNA\u903b\u8f91\u7535\u8def\u4e0e\u8ba1\u7b97\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61871115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G646053297","display_name":null,"funder_award_id":"62122020","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1938636034","https://openalex.org/W1999580681","https://openalex.org/W2031839259","https://openalex.org/W2047190101","https://openalex.org/W2053521124","https://openalex.org/W2071284784","https://openalex.org/W2104987624","https://openalex.org/W2111953900","https://openalex.org/W2116334496","https://openalex.org/W2128865660","https://openalex.org/W2149416133","https://openalex.org/W2195693430","https://openalex.org/W2286865561","https://openalex.org/W2295341737","https://openalex.org/W2339667469","https://openalex.org/W2553591559","https://openalex.org/W2565293665","https://openalex.org/W2602529568","https://openalex.org/W2778670052","https://openalex.org/W2810297269","https://openalex.org/W2848225903","https://openalex.org/W2910407148","https://openalex.org/W2963199294","https://openalex.org/W2964003927","https://openalex.org/W2969547665","https://openalex.org/W2990770491","https://openalex.org/W3012057956","https://openalex.org/W3133603318","https://openalex.org/W3158743991","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2073241848","https://openalex.org/W2042644197","https://openalex.org/W2785927776","https://openalex.org/W2020549994","https://openalex.org/W4220674950","https://openalex.org/W1980565639","https://openalex.org/W2381915087","https://openalex.org/W2103001330","https://openalex.org/W2806946907","https://openalex.org/W2136499280"],"abstract_inverted_index":{"Millimeter":[0],"wave":[1],"(mmWave)":[2],"frequency":[3,69],"spectrum":[4,10,15],"offers":[5],"orders":[6],"of":[7,73,80,113,116,142,168,201,237,264],"magnitude":[8],"greater":[9],"to":[11,44,57,85,164,191,228,242],"mitigate":[12,192],"the":[13,23,28,50,59,74,87,114,131,138,146,166,175,193,207,213,218,235,238,246,256,262,265],"severe":[14],"shortage":[16],"in":[17,27,145],"conventional":[18],"cellular":[19],"bands.":[20],"To":[21],"overcome":[22],"high":[24],"propagation":[25],"loss":[26],"mmWave":[29,143],"band,":[30],"massive":[31],"multiple-input":[32],"and":[33,42,77,102,171,211,233,259],"multiple-output":[34],"(MIMO)":[35],"can":[36],"be":[37],"adopted":[38],"at":[39,67],"both":[40],"transmitter":[41],"receiver":[43],"provide":[45],"large":[46,78],"beamforming":[47,98],"gains.":[48,99],"At":[49],"same":[51],"time,":[52],"hybrid":[53,75],"architecture":[54,76],"is":[55,83,93,189],"applied":[56],"reduce":[58],"huge":[60],"power":[61],"consumption":[62],"caused":[63],"by":[64,197],"devices":[65],"operating":[66],"radio":[68],"(RF).":[70],"However,":[71],"because":[72],"number":[79],"antennas,":[81],"it":[82,173],"hard":[84],"obtain":[86],"channel":[88,123,144],"state":[89],"information":[90],"(CSI)":[91],"which":[92],"crucial":[94],"for":[95],"obtaining":[96],"desirable":[97],"Off-grid":[100,127],"error":[101,107,128,258],"sparsity":[103],"pattern":[104],"(SP)":[105],"estimation":[106,124,170,267],"are":[108,226],"two":[109],"main":[110],"limiting":[111],"factors":[112],"performance":[115,236],"most":[117],"existing":[118,244],"compressive":[119],"sensing":[120],"(CS)":[121],"based":[122,216],"(CE)":[125],"algorithms.":[126],"presents":[129],"when":[130],"true":[132],"angle":[133,140],"does":[134],"not":[135],"lie":[136],"on":[137,217],"discretized":[139],"grid":[141,209],"spatial":[147],"domain.":[148],"In":[149],"this":[150],"paper,":[151],"we":[152],"first":[153],"propose":[154],"a":[155,198,220],"fast":[156],"Bayesian":[157,177],"matching":[158,178],"pursuit":[159,179],"method":[160,204],"with":[161,268],"\u2018virtual":[162],"sparsity\u2019":[163],"improve":[165],"accuracy":[167,263],"SP":[169,266],"name":[172],"as":[174],"improved":[176],"(IBMP).":[180],"Then":[181],"an":[182],"enhanced":[183],"algorithm,":[184],"named":[185],"off-grid":[186,194,257],"IBMP":[187],"(OG-IBMP),":[188],"developed":[190],"problem,":[195],"followed":[196],"theoretical":[199,231],"analysis":[200,232],"OG-IBMP.":[202],"This":[203],"iteratively":[205],"updates":[206,212],"selected":[208],"points":[210],"corresponding":[214],"parameters":[215],"maximum":[219],"posteriori":[221],"(MAP)":[222],"criterion.":[223],"Numerical":[224],"simulations":[225],"performed":[227],"validate":[229],"our":[230,250],"evaluate":[234],"proposed":[239,251],"method.":[240],"Compared":[241],"other":[243],"methods,":[245],"results":[247],"show":[248],"that":[249],"OG-IBMP":[252],"algorithm":[253],"greatly":[254],"reduces":[255],"significantly":[260],"enhances":[261],"low":[269],"computational":[270],"complexity.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}