{"id":"https://openalex.org/W2959675167","doi":"https://doi.org/10.1109/tsp.2019.2928977","title":"Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO With One-Dimensional Antenna Array","display_name":"Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO With One-Dimensional Antenna Array","publication_year":2019,"publication_date":"2019-07-16","ids":{"openalex":"https://openalex.org/W2959675167","doi":"https://doi.org/10.1109/tsp.2019.2928977","mag":"2959675167"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.2928977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2928977","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.01059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100338967","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-5246-8399"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5246-8399","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063946480","display_name":"Xiaojun Yuan","orcid":"https://orcid.org/0000-0002-0433-6535"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Yuan","raw_affiliation_strings":["Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0433-6535","affiliations":[{"raw_affiliation_string":"Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004874287","display_name":"Ying\u2013Jun Angela Zhang","orcid":"https://orcid.org/0000-0002-7304-6849"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ying Jun Zhang","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-7304-6849","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7992,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94424693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"67","issue":"17","first_page":"4433","last_page":"4448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9972000122070312,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9929999709129333,"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/mimo","display_name":"MIMO","score":0.7185158729553223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884332299232483},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.646180272102356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5800145268440247},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5706554651260376},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5418250560760498},{"id":"https://openalex.org/keywords/virtual-channel","display_name":"Virtual channel","score":0.5407699346542358},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.5178385376930237},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5125131607055664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41618847846984863},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.336146742105484},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.33373796939849854},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2504357397556305},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20510101318359375}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7185158729553223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884332299232483},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.646180272102356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5800145268440247},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5706554651260376},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5418250560760498},{"id":"https://openalex.org/C2777076873","wikidata":"https://www.wikidata.org/wiki/Q2291875","display_name":"Virtual channel","level":3,"score":0.5407699346542358},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.5178385376930237},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5125131607055664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41618847846984863},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.336146742105484},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.33373796939849854},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2504357397556305},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20510101318359375},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2019.2928977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2928977","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1810.01059","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.01059","pdf_url":"https://arxiv.org/pdf/1810.01059","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.01059","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.01059","pdf_url":"https://arxiv.org/pdf/1810.01059","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W203533378","https://openalex.org/W836396136","https://openalex.org/W1510028821","https://openalex.org/W1511986666","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1763302039","https://openalex.org/W1902846346","https://openalex.org/W1907710130","https://openalex.org/W1959879694","https://openalex.org/W2000828982","https://openalex.org/W2016999686","https://openalex.org/W2026933032","https://openalex.org/W2028102270","https://openalex.org/W2028823365","https://openalex.org/W2056798980","https://openalex.org/W2082029531","https://openalex.org/W2088212435","https://openalex.org/W2106929598","https://openalex.org/W2123531416","https://openalex.org/W2128513990","https://openalex.org/W2137628444","https://openalex.org/W2141682101","https://openalex.org/W2147035723","https://openalex.org/W2147601077","https://openalex.org/W2166670884","https://openalex.org/W2170311302","https://openalex.org/W2171387626","https://openalex.org/W2253471203","https://openalex.org/W2326913951","https://openalex.org/W2343491855","https://openalex.org/W2463747392","https://openalex.org/W2539198515","https://openalex.org/W2565293665","https://openalex.org/W2567948266","https://openalex.org/W2576906596","https://openalex.org/W2611311577","https://openalex.org/W2621191494","https://openalex.org/W2757091337","https://openalex.org/W2768388424","https://openalex.org/W2777046509","https://openalex.org/W2887520228","https://openalex.org/W2890322416","https://openalex.org/W2921038745","https://openalex.org/W2962346991","https://openalex.org/W2964021982","https://openalex.org/W3106282754","https://openalex.org/W3121355058","https://openalex.org/W6608218929","https://openalex.org/W6639947024"],"related_works":["https://openalex.org/W162456724","https://openalex.org/W2354832544","https://openalex.org/W4252544247","https://openalex.org/W2059045613","https://openalex.org/W884630482","https://openalex.org/W2025723618","https://openalex.org/W2552025594","https://openalex.org/W4211013851","https://openalex.org/W3038389527","https://openalex.org/W2946655848"],"abstract_inverted_index":{"In":[0],"this":[1,45],"paper,":[2],"we":[3,78,97,131],"study":[4],"blind":[5,104],"channel-and-signal":[6],"estimation":[7,105,163],"by":[8,29],"exploiting":[9],"the":[10,25,31,63,66,70,109,112,119,122,127,133,150,162,167,175],"burst-sparse":[11],"structure":[12],"of":[13,121,136,141,179],"angular-domain":[14,32],"propagation":[15],"channels":[16],"in":[17],"massive":[18],"MIMO":[19],"systems.":[20],"The":[21],"state-of-the-art":[22,168],"approach":[23,46,169],"utilizes":[24],"structured":[26],"channel":[27,33,42,82,110],"sparsity":[28],"sampling":[30,87],"representation":[34,68,83],"with":[35,84,116],"a":[36,57,80,85,90,99],"uniform":[37,51],"angle-sampling":[38],"grid,":[39],"a.k.a.":[40],"virtual":[41,67],"representation.":[43],"However,":[44],"is":[47],"only":[48],"applicable":[49],"to":[50,62,107,125,148,166],"linear":[52],"arrays":[53],"and":[54,69,89,111,144,177],"may":[55],"cause":[56],"substantial":[58],"performance":[59],"loss":[60],"due":[61],"mismatch":[64],"between":[65],"true":[71],"angle":[72,128],"information.":[73,129],"To":[74],"tackle":[75],"these":[76],"challenges,":[77],"propose":[79],"sparse":[81],"super-resolution":[86],"grid":[88],"hidden":[91],"Markovian":[92],"support.":[93],"Based":[94],"on":[95,118],"this,":[96],"develop":[98],"novel":[100],"approximate":[101],"inference":[102],"based":[103],"algorithm":[106],"estimate":[108],"user":[113],"signals":[114],"simultaneously,":[115],"emphasis":[117],"adoption":[120],"expectation-maximization":[123],"method":[124,159],"learn":[126],"Furthermore,":[130],"demonstrate":[132],"low-complexity":[134],"implementation":[135],"our":[137,157,180],"algorithm,":[138],"making":[139],"use":[140],"factor":[142],"graph":[143],"message":[145],"passing":[146],"principles":[147],"compute":[149],"marginal":[151],"posteriors.":[152],"Numerical":[153],"results":[154],"show":[155],"that":[156],"proposed":[158],"significantly":[160],"reduces":[161],"error":[164],"compared":[165],"under":[170],"various":[171],"settings,":[172],"which":[173],"verifies":[174],"efficiency":[176],"robustness":[178],"method.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2019-07-23T00:00:00"}