{"id":"https://openalex.org/W2780343669","doi":"https://doi.org/10.1109/vtcfall.2018.8690669","title":"Blind Estimation Algorithms for I/Q Imbalance in Direct Down-Conversion Receivers","display_name":"Blind Estimation Algorithms for I/Q Imbalance in Direct Down-Conversion Receivers","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2780343669","doi":"https://doi.org/10.1109/vtcfall.2018.8690669","mag":"2780343669"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.05970","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036445526","display_name":"Peiyang Song","orcid":"https://orcid.org/0000-0001-6605-6056"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peiyang Song","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739757","display_name":"Nan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438460","display_name":"Hang Zhang","orcid":"https://orcid.org/0000-0002-6797-4948"},"institutions":[{"id":"https://openalex.org/I4210164386","display_name":"Hebei Science and Technology Department","ror":"https://ror.org/05k812a28","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210164386"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhang","raw_affiliation_strings":["Science and Technology on Communication Networks Laboratory, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Communication Networks Laboratory, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210164386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034754948","display_name":"Fengkui Gong","orcid":"https://orcid.org/0000-0002-4211-0959"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengkui Gong","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036445526"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.1578,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88061844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11417","display_name":"Advancements in PLL and VCO 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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6669139862060547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574282169342041},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.516834557056427},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5163872838020325},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.48531049489974976},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.46757084131240845},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4566177725791931},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4184172451496124},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.32619768381118774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32573455572128296},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32146602869033813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24815019965171814},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19746533036231995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15999439358711243},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11208641529083252}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6669139862060547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574282169342041},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.516834557056427},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5163872838020325},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.48531049489974976},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.46757084131240845},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4566177725791931},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4184172451496124},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.32619768381118774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32573455572128296},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32146602869033813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24815019965171814},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19746533036231995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15999439358711243},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11208641529083252},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1712.05970","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.05970","pdf_url":"https://arxiv.org/pdf/1712.05970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:1712.05970","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.05970","pdf_url":"https://arxiv.org/pdf/1712.05970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1967164822","https://openalex.org/W2046353265","https://openalex.org/W2067718323","https://openalex.org/W2098359205","https://openalex.org/W2122421777","https://openalex.org/W2126980870","https://openalex.org/W2136162940","https://openalex.org/W2152023985","https://openalex.org/W2157043742","https://openalex.org/W2167217202","https://openalex.org/W2518786602","https://openalex.org/W2598068449","https://openalex.org/W2604539355","https://openalex.org/W2610335499","https://openalex.org/W2792877522"],"related_works":["https://openalex.org/W2545553786","https://openalex.org/W2349154090","https://openalex.org/W2993703512","https://openalex.org/W2133621247","https://openalex.org/W2186363603","https://openalex.org/W2384751807","https://openalex.org/W2118910124","https://openalex.org/W2381494073","https://openalex.org/W5068284","https://openalex.org/W2100151641"],"abstract_inverted_index":{"As":[0],"known,":[1],"receivers":[2],"with":[3,41],"in-phase":[4],"and":[5,24,81,142],"quadrature-phase":[6],"(I/Q)":[7],"down":[8],"conversion,":[9],"especially":[10],"direct-conversion":[11],"architectures'":[12],"always":[13],"suffer":[14],"from":[15,34],"I/Q":[16,18,28,35,50,74,126],"imbalance.":[17,113],"imbalance":[19,36,51,75,127],"is":[20,56],"caused":[21],"by":[22],"amplitude":[23],"phase":[25],"mismatch":[26],"between":[27],"paths.":[29],"The":[30,136],"performance":[31],"degradation":[32],"resulting":[33],"can":[37,99,149],"not":[38],"be":[39,100],"mitigated":[40],"simply":[42],"higher":[43],"signal":[44,133,144],"to":[45],"noise":[46],"ratio":[47],"(SNR).":[48],"Thus,":[49],"compensation":[52,128,147],"in":[53,63,108,124],"digital":[54],"domain":[55],"critical.":[57],"There":[58],"are":[59],"two":[60],"main":[61],"contributions":[62],"this":[64],"paper.":[65],"Firstly,":[66],"we":[67,116],"proposed":[68,137],"a":[69,88],"blind":[70],"estimation":[71,96],"algorithm":[72,148],"for":[73,102],"parameters":[76],"based":[77,130],"on":[78,131],"joint":[79,138],"first":[80,139],"second":[82],"order":[83,140],"statistics":[84,141],"(FSS)":[85],"which":[86],"has":[87],"lower":[89],"complexity":[90],"than":[91],"conventional":[92,125],"Gaussian":[93],"maximum":[94],"likelihood":[95],"(GMLE).":[97],"This":[98],"used":[101],"further":[103],"precessing":[104],"such":[105],"as":[106],"equalization":[107],"presence":[109],"of":[110,121],"receiver":[111],"IQ":[112],"In":[114],"addition,":[115],"find":[117],"out":[118],"the":[119,151],"reason":[120],"error":[122,154],"floor":[123],"method":[129],"conjugate":[132,143],"model":[134,145],"(CSM).":[135],"(FSCSM)":[146],"reach":[150],"ideal":[152],"bit":[153],"rate":[155],"(BER)":[156],"performance.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2018-01-05T00:00:00"}
