{"id":"https://openalex.org/W4321636791","doi":"https://doi.org/10.1109/wcsp55476.2022.10039360","title":"Phase Noise Estimation In Time Domain For OFDM System","display_name":"Phase Noise Estimation In Time Domain For OFDM System","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4321636791","doi":"https://doi.org/10.1109/wcsp55476.2022.10039360"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp55476.2022.10039360","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5079117725","display_name":"Heng Du","orcid":"https://orcid.org/0000-0002-8791-6366"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Du","raw_affiliation_strings":["School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034111999","display_name":"Jiang Xue","orcid":"https://orcid.org/0000-0001-6688-0256"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xue","raw_affiliation_strings":["School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091658999","display_name":"Qihong Duan","orcid":"https://orcid.org/0000-0001-7549-0970"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihong Duan","raw_affiliation_strings":["School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of mathematics and statistics Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"961","last_page":"966"},"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9998000264167786,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.8592698574066162},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.7681590914726257},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.7166992425918579},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.655104398727417},{"id":"https://openalex.org/keywords/phase-noise","display_name":"Phase noise","score":0.6057972311973572},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.49823856353759766},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4755030572414398},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45630189776420593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4545029103755951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44312572479248047},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4417169988155365},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.27919742465019226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1812957525253296},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.16972237825393677},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16962483525276184},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.13029947876930237},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12175926566123962},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1008463203907013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09044596552848816}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.8592698574066162},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.7681590914726257},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.7166992425918579},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.655104398727417},{"id":"https://openalex.org/C89631360","wikidata":"https://www.wikidata.org/wiki/Q1428766","display_name":"Phase noise","level":2,"score":0.6057972311973572},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.49823856353759766},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4755030572414398},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45630189776420593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4545029103755951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44312572479248047},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4417169988155365},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.27919742465019226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1812957525253296},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.16972237825393677},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16962483525276184},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.13029947876930237},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12175926566123962},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1008463203907013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09044596552848816},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/wcsp55476.2022.10039360","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.550000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1863251883","https://openalex.org/W2012408463","https://openalex.org/W2027515139","https://openalex.org/W2037278714","https://openalex.org/W2086106315","https://openalex.org/W2122434580","https://openalex.org/W2130090792","https://openalex.org/W2135895052","https://openalex.org/W2138196810","https://openalex.org/W2139399084","https://openalex.org/W2150817728","https://openalex.org/W2153184506","https://openalex.org/W2797817980","https://openalex.org/W3129950483","https://openalex.org/W3194946664"],"related_works":["https://openalex.org/W2059318893","https://openalex.org/W2095582735","https://openalex.org/W1965698851","https://openalex.org/W834942123","https://openalex.org/W4232542516","https://openalex.org/W3176637561","https://openalex.org/W1587967017","https://openalex.org/W1967331680","https://openalex.org/W2086434566","https://openalex.org/W2390221826"],"abstract_inverted_index":{"The":[0,24,62,124],"Orthogonal":[1],"Frequency":[2],"Division":[3],"Multiplexing":[4],"(OFDM)":[5],"system":[6],"is":[7,15,60,64,78,102],"sensitive":[8],"to":[9,27,104],"the":[10,28,39,45,48,53,67,71,81,91,96,116,128,131],"phase":[11,30],"noise":[12],"(PN),":[13],"which":[14,37,110],"usually":[16],"generated":[17],"by":[18,115],"various":[19],"radio":[20],"frequency":[21],"(RF)":[22],"devices.":[23],"PN":[25,63,88],"leads":[26],"common":[29],"error":[31],"(CPE)":[32],"and":[33,43,70,87,139],"inter-carrier":[34],"interference":[35],"(ICI),":[36],"breaks":[38],"orthogonality":[40],"among":[41],"subcarriers":[42],"degrades":[44],"performance":[46],"of":[47,84,99,130,136],"system.":[49],"In":[50,94],"this":[51],"paper,":[52],"maximum":[54,72],"a":[55,73,106],"posteriori-Gaussian":[56],"elimination":[57,118],"(MAP-GE)":[58],"method":[59,120,133],"proposed.":[61],"modeled":[65],"as":[66],"Wiener":[68],"process":[69],"posteriori":[74],"(MAP)":[75],"estimation":[76,83,101],"criterion":[77],"derived":[79],"for":[80],"joint":[82],"transmitted":[85],"signals":[86],"based":[89],"on":[90],"Bayesian":[92],"theory.":[93],"addition,":[95],"linear":[97,108],"approximation":[98],"MAP":[100],"equivalent":[103],"solving":[105],"tridiagonal":[107],"equation,":[109],"can":[111],"be":[112],"solved":[113],"exactly":[114],"Gaussian":[117],"(GE)":[119],"with":[121],"low":[122,140],"complexity.":[123],"simulation":[125],"results":[126],"demonstrate":[127],"superiorities":[129],"proposed":[132],"in":[134],"terms":[135],"high":[137],"accuracy":[138],"computation":[141],"consumption.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}