{"id":"https://openalex.org/W2141188139","doi":"https://doi.org/10.1109/icassp.2004.1326840","title":"Blind CFO estimation in OFDM systems using diagonality criterion","display_name":"Blind CFO estimation in OFDM systems using diagonality criterion","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2141188139","doi":"https://doi.org/10.1109/icassp.2004.1326840","mag":"2141188139"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046562117","display_name":"Timo Roman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Roman","raw_affiliation_strings":["SMARAD CoE, Signal Processing Laboratory, Helsinki University of Technology, Finland","[Signal Process. Lab., Helsinki Univ. of Technol., Finland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SMARAD CoE, Signal Processing Laboratory, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"[Signal Process. Lab., Helsinki Univ. of Technol., Finland]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105267090","display_name":"Visa Koivunen","orcid":"https://orcid.org/0000-0003-1454-5928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Koivunen","raw_affiliation_strings":["SMARAD CoE, Signal Processing Laboratory, Helsinki University of Technology, Finland","[Signal Process. Lab., Helsinki Univ. of Technol., Finland]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SMARAD CoE, Signal Processing Laboratory, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"[Signal Process. Lab., Helsinki Univ. of Technol., Finland]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6547,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83976435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"iv","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.8810372352600098},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.7084282636642456},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6755622625350952},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.6383118629455566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070482134819031},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.595436692237854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.572210431098938},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5571818351745605},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.46344995498657227},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4575871229171753},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.43576082587242126},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4223010540008545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30310818552970886},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26654481887817383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.167231023311615}],"concepts":[{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.8810372352600098},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.7084282636642456},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6755622625350952},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6383118629455566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070482134819031},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.595436692237854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.572210431098938},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5571818351745605},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.46344995498657227},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4575871229171753},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.43576082587242126},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4223010540008545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30310818552970886},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26654481887817383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.167231023311615},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2004.1326840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1522633166","https://openalex.org/W1759594090","https://openalex.org/W2098918476","https://openalex.org/W2102127776","https://openalex.org/W2132147894","https://openalex.org/W2142205034","https://openalex.org/W2153621847","https://openalex.org/W2574182289","https://openalex.org/W4254243261"],"related_works":["https://openalex.org/W2163799874","https://openalex.org/W2110234499","https://openalex.org/W2540911486","https://openalex.org/W3175192043","https://openalex.org/W2068304403","https://openalex.org/W3147831239","https://openalex.org/W2371617615","https://openalex.org/W3080284048","https://openalex.org/W2010378487","https://openalex.org/W2022242418"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,18,28,42,72,79,86],"problem":[6],"of":[7,20,47,74],"blind":[8,30],"carrier":[9],"frequency":[10,21,43],"offset":[11],"(CFO)":[12],"estimation":[13,65],"in":[14,17,41,66,71,96],"OFDM":[15],"systems,":[16],"case":[19,73],"selective":[22],"channels.":[23,69],"By":[24],"assuming":[25],"real":[26],"constellations,":[27],"proposed":[29],"method":[31],"enforces":[32],"a":[33],"diagonal":[34],"structure":[35],"for":[36],"signal":[37],"pseudo":[38],"covariance":[39],"matrices":[40],"domain.":[44],"The":[45],"power":[46],"non-diagonal":[48],"elements":[49],"is":[50,55],"minimized.":[51],"A":[52],"closed-form":[53],"solution":[54],"derived":[56],"which":[57],"leads":[58],"to":[59],"accurate":[60],"and":[61],"computationally":[62],"efficient":[63],"CFO":[64],"multipath":[67],"fading":[68],"Moreover,":[70],"complex":[75],"circularly":[76],"symmetric":[77],"noise,":[78],"theoretical":[80],"performance":[81],"does":[82],"not":[83],"depend":[84],"on":[85],"SNR.":[87],"Simulation":[88],"results":[89],"are":[90],"presented":[91],"using":[92],"realistic":[93],"channel":[94],"models":[95],"typical":[97],"urban":[98],"scenarios.":[99]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
