{"id":"https://openalex.org/W2077035367","doi":"https://doi.org/10.1109/wcnc.2013.6554956","title":"A blind-ML Method for frequency-selective I/Q mismatch compensation in low-IF receivers","display_name":"A blind-ML Method for frequency-selective I/Q mismatch compensation in low-IF receivers","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2077035367","doi":"https://doi.org/10.1109/wcnc.2013.6554956","mag":"2077035367"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2013.6554956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6554956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/A5037250201","display_name":"Aamir Ishaque","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Aamir Ishaque","raw_affiliation_strings":["Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Germany","Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050903837","display_name":"Gerd Ascheid","orcid":"https://orcid.org/0000-0003-4068-3558"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerd Ascheid","raw_affiliation_strings":["Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Germany","Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Communication Technologies and Embedded Systems, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037250201"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14437269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2513","last_page":"2518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9926999807357788,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9922000169754028,"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":0.6487202048301697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6168352961540222},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6139034032821655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5395305752754211},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5293897986412048},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4552418887615204},{"id":"https://openalex.org/keywords/single-antenna-interference-cancellation","display_name":"Single antenna interference cancellation","score":0.4402100443840027},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43876031041145325},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4387276768684387},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4355882704257965},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43510252237319946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4002053141593933},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1747497320175171},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1508142054080963},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11889606714248657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11325305700302124}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6487202048301697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6168352961540222},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6139034032821655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5395305752754211},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5293897986412048},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4552418887615204},{"id":"https://openalex.org/C83204339","wikidata":"https://www.wikidata.org/wiki/Q7523915","display_name":"Single antenna interference cancellation","level":3,"score":0.4402100443840027},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43876031041145325},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4387276768684387},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4355882704257965},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43510252237319946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4002053141593933},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1747497320175171},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1508142054080963},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11889606714248657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11325305700302124},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wcnc.2013.6554956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6554956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:227901","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/227901","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC 2013) : Shanghai, China, 7 - 10 April 2013<br/>2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai, Peoples R China, 2013-04-07 - 2013-04-10","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1483279278","https://openalex.org/W1977067929","https://openalex.org/W1999542175","https://openalex.org/W2031660924","https://openalex.org/W2103104398","https://openalex.org/W2103472320","https://openalex.org/W2112174400","https://openalex.org/W2116631800","https://openalex.org/W2126284250","https://openalex.org/W2135191220","https://openalex.org/W2136162940","https://openalex.org/W2138403139","https://openalex.org/W2155260992"],"related_works":["https://openalex.org/W2803355823","https://openalex.org/W1529526802","https://openalex.org/W4210866488","https://openalex.org/W2028595708","https://openalex.org/W2470145061","https://openalex.org/W1938101553","https://openalex.org/W2172053631","https://openalex.org/W4287880334","https://openalex.org/W2105276653","https://openalex.org/W4366700029"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,92],"blind":[4],"method":[5,97,159],"to":[6,34,54,90,109,162],"resolve":[7],"imbalances":[8],"between":[9],"I":[10],"and":[11,57,136,168],"Q":[12],"paths":[13],"in":[14,42,70,106,130],"low-IF":[15],"receivers.":[16],"In":[17],"particular,":[18],"we":[19,121],"investigate":[20],"the":[21,25,29,35,43,49,52,58,61,67,78,99,103,107,111,127,131,140,147,153,157,165,170],"mismatch":[22,62],"arising":[23],"from":[24],"coefficient":[26],"variation":[27],"of":[28,51,60,102,133,139,156,164,176],"complex":[30],"filters":[31],"that":[32,152,163],"leads":[33],"frequency-selective":[36,141],"imbalance":[37],"problem.":[38],"The":[39,95,143],"key":[40],"point":[41],"proposed":[44,96,158],"novel":[45],"DSP-based":[46],"solution":[47],"is":[48,160],"transformation":[50],"signals":[53],"frequency":[55,72],"domain":[56],"estimation":[59],"cancellation":[63,104],"filter":[64,105],"based":[65],"on":[66,126],"instantaneous":[68],"separation":[69],"each":[71],"bin.":[73],"Although":[74],"this":[75],"approach":[76,169],"relaxes":[77],"original":[79],"model":[80],"with":[81,115],"convolutive":[82],"mismatch,":[83],"it":[84],"still":[85],"requires":[86],"long":[87],"observation":[88],"records":[89],"obtain":[91],"sufficient":[93],"performance.":[94],"exploits":[98],"continuity":[100],"property":[101],"frequency-domain":[108],"improve":[110],"estimator":[112],"performance":[113,155,171],"even":[114],"short":[116],"symbol":[117],"block":[118],"lengths.":[119],"Moreover,":[120],"derive":[122],"an":[123],"asymptotic":[124],"bound":[125,172],"attainable":[128],"MSE":[129],"case":[132],"Gaussian":[134],"sources":[135],"deterministic":[137],"parametrization":[138],"model.":[142],"numerical":[144],"results":[145],"under":[146],"mismatched":[148],"filtering":[149],"condition":[150],"reveal":[151],"interference-separation":[154],"superior":[161],"conventional":[166],"methods":[167],"for":[173],"interference-to-signal":[174],"ratios":[175],"interest.":[177]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
