{"id":"https://openalex.org/W2897199262","doi":"https://doi.org/10.1109/lsp.2018.2876803","title":"Phase Corrected ICA for Uplink Massive MIMO","display_name":"Phase Corrected ICA for Uplink Massive MIMO","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2897199262","doi":"https://doi.org/10.1109/lsp.2018.2876803","mag":"2897199262"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2876803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2876803","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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/A5027761121","display_name":"Andr\u00e9 Saito Guerreiro","orcid":"https://orcid.org/0000-0002-6192-2792"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Andre Saito Guerreiro","raw_affiliation_strings":["Department of Communications, State University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Communications, State University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068648984","display_name":"Gustavo Fraidenraich","orcid":"https://orcid.org/0000-0002-0517-1496"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Fraidenraich","raw_affiliation_strings":["Department of Communications, State University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Communications, State University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027761121"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57117284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":"12","first_page":"1810","last_page":"1814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983999729156494,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9980999827384949,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.8507870435714722},{"id":"https://openalex.org/keywords/fastica","display_name":"FastICA","score":0.7884871363639832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066372036933899},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.643704891204834},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5398778915405273},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5397241115570068},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5235642790794373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5013961791992188},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4734898507595062},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4729233384132385},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4622518718242645},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.44137224555015564},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4268464744091034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32570546865463257},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24444949626922607},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1794530153274536}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8507870435714722},{"id":"https://openalex.org/C157709420","wikidata":"https://www.wikidata.org/wiki/Q3739974","display_name":"FastICA","level":4,"score":0.7884871363639832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066372036933899},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.643704891204834},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5398778915405273},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5397241115570068},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5235642790794373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5013961791992188},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4734898507595062},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4729233384132385},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4622518718242645},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.44137224555015564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4268464744091034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32570546865463257},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24444949626922607},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1794530153274536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2876803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2876803","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2123649031","https://openalex.org/W2128513990","https://openalex.org/W2147601077","https://openalex.org/W2316308291","https://openalex.org/W2344299770","https://openalex.org/W2535031803","https://openalex.org/W2555737044","https://openalex.org/W2587782165","https://openalex.org/W2611311577","https://openalex.org/W3106282754","https://openalex.org/W4205778870","https://openalex.org/W4206180546"],"related_works":["https://openalex.org/W2046761971","https://openalex.org/W2103029460","https://openalex.org/W2393502243","https://openalex.org/W2548965393","https://openalex.org/W915513920","https://openalex.org/W2356479045","https://openalex.org/W2156523068","https://openalex.org/W1485777917","https://openalex.org/W1967276093","https://openalex.org/W1971135983"],"abstract_inverted_index":{"Channel":[0],"state":[1],"information":[2],"(CSI)":[3],"is":[4,119],"fundamental":[5],"to":[6,26,49,55,106],"the":[7,21,34,57,72,81,115],"performance":[8,89],"of":[9,59,70,90],"massive":[10],"multiple-input":[11],"multiple-output":[12],"systems.":[13],"However,":[14],"systems":[15],"that":[16,76,97,114],"rely":[17],"on":[18,80],"pilots":[19],"for":[20],"CSI":[22],"estimation":[23],"are":[24],"susceptible":[25],"pilot":[27,36,60],"contamination,":[28],"as":[29],"neighboring":[30],"cells":[31],"may":[32],"reuse":[33],"same":[35],"sequences.":[37],"Independent":[38],"component":[39],"analysis":[40],"(ICA)":[41],"has":[42],"been":[43],"widely":[44],"used":[45],"in":[46,53,87,117],"recent":[47],"studies":[48],"perform":[50],"blind":[51,91],"decoding,":[52],"order":[54],"circumvent":[56],"effects":[58],"contamination.":[61],"In":[62],"this":[63],"letter,":[64],"we":[65,95,112],"introduce":[66],"a":[67],"modified":[68],"version":[69],"fastICA,":[71],"phase":[73,78],"corrected":[74],"ICA":[75,108],"reduces":[77,101],"rotation":[79],"estimated":[82],"constellations,":[83],"and":[84],"thus,":[85],"results":[86],"better":[88],"receivers.":[92],"Through":[93],"simulations,":[94],"show":[96,113],"our":[98],"method":[99],"significantly":[100],"symbol":[102],"error":[103],"rates":[104],"compared":[105],"standard":[107],"based":[109],"methods.":[110],"Furthermore,":[111],"increase":[116],"complexity":[118],"small":[120],"at":[121],"high":[122],"signal-to-noise":[123],"rate.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}