{"id":"https://openalex.org/W1786553328","doi":"https://doi.org/10.1109/icc.2005.1494718","title":"Improved maximum likelihood frequency estimation based on likelihood metric design","display_name":"Improved maximum likelihood frequency estimation based on likelihood metric design","publication_year":2005,"publication_date":"2005-08-16","ids":{"openalex":"https://openalex.org/W1786553328","doi":"https://doi.org/10.1109/icc.2005.1494718","mag":"1786553328"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2005.1494718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2005.1494718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2005. ICC 2005. 2005","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/A5057458963","display_name":"Hlaing Minn","orcid":"https://orcid.org/0000-0003-0774-569X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I182980787","display_name":"University of Dallas","ror":"https://ror.org/00v3ak792","country_code":"US","type":"education","lineage":["https://openalex.org/I182980787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hlaing Minn","raw_affiliation_strings":["Department of Electrical Engineering, University of Technology, Dallas, TX, USA","Dept. of Electr. Eng., Texas Univ., Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Technology, Dallas, TX, USA","institution_ids":["https://openalex.org/I182980787"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Texas Univ., Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023982694","display_name":"Poramate Tarasak","orcid":"https://orcid.org/0009-0003-2528-0942"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"P. Tarasak","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Korea Advanced Institute Of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute Of Science and Technology","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8171,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84687405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2150","last_page":"2156"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7873759269714355},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.6867242455482483},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.591381311416626},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5805740356445312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521935224533081},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.5394523739814758},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.5358902812004089},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5094981789588928},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.49604710936546326},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49027255177497864},{"id":"https://openalex.org/keywords/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.48499366641044617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4692504405975342},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46863651275634766},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.46851611137390137},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.46719643473625183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35602283477783203},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24266645312309265},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.19770541787147522},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16717907786369324},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.0677739679813385}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7873759269714355},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.6867242455482483},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.591381311416626},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5805740356445312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521935224533081},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.5394523739814758},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.5358902812004089},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5094981789588928},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.49604710936546326},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49027255177497864},{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.48499366641044617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4692504405975342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46863651275634766},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.46851611137390137},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.46719643473625183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35602283477783203},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24266645312309265},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.19770541787147522},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16717907786369324},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0677739679813385},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2005.1494718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2005.1494718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2005. ICC 2005. 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327708","display_name":"University of Texas at Dallas","ror":"https://ror.org/049emcs32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2098124935","https://openalex.org/W2104515747","https://openalex.org/W2104719891","https://openalex.org/W2109369873","https://openalex.org/W2110774823","https://openalex.org/W2119857453","https://openalex.org/W2132147894","https://openalex.org/W2138093886","https://openalex.org/W2154391508","https://openalex.org/W2170197871","https://openalex.org/W2501253824","https://openalex.org/W6683213313"],"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/W1499442185","https://openalex.org/W2371617615","https://openalex.org/W3080284048","https://openalex.org/W2010378487"],"abstract_inverted_index":{"For":[0],"emerging":[1],"high":[2],"data-rate":[3],"communication":[4],"systems":[5],"in":[6,134],"highly":[7],"dispersive":[8],"channels":[9],"such":[10],"as":[11],"ultra-wideband":[12],"systems,":[13],"possible":[14],"frequency":[15,43,92,98],"offsets":[16],"could":[17],"be":[18],"larger":[19,126],"than":[20],"the":[21,25,52,56,73,90,110,120,142],"estimation":[22,53,69,127,132],"range":[23,54,128],"of":[24,55,112],"existing":[26,57],"methods":[27,58],"using":[28,59],"training":[29,60],"signals":[30,61],"with":[31,62],"several":[32],"identical":[33,63],"parts.":[34],"This":[35],"paper":[36],"presents":[37],"a":[38,67,76,84,96,125,130],"novel":[39],"improved":[40],"maximum":[41,114],"likelihood":[42,74,115],"offset":[44,93,99],"estimator":[45,144],"which":[46,82],"can":[47],"handle":[48],"at":[49],"least":[50],"twice":[51],"parts":[64],"and":[65,95,129,141],"achieves":[66],"better":[68,131],"performance.":[70],"Based":[71],"on":[72,109],"metric,":[75],"new":[77],"design":[78,119],"metric":[79,104],"is":[80,83,138,146],"introduced":[81],"pair-wise":[85],"error":[86],"probability":[87],"(PEP)":[88],"between":[89],"correct":[91],"point":[94],"trial":[97],"point.":[100],"The":[101],"proposed":[102],"PEP":[103,121],"gives":[105],"more":[106],"theoretical":[107],"insights":[108],"performance":[111,133],"practical":[113],"estimators.":[116],"How":[117],"to":[118,122],"achieve":[123],"both":[124],"fading":[135],"channel":[136],"environments":[137],"also":[139],"presented":[140],"corresponding":[143],"implementation":[145],"described.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}