{"id":"https://openalex.org/W2528124428","doi":"https://doi.org/10.1109/tsp.2017.2691672","title":"Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM","display_name":"Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM","publication_year":2017,"publication_date":"2017-04-06","ids":{"openalex":"https://openalex.org/W2528124428","doi":"https://doi.org/10.1109/tsp.2017.2691672","mag":"2528124428"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2691672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2691672","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1610.01433","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058177570","display_name":"Zhongju Wang","orcid":"https://orcid.org/0000-0001-5579-4280"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhongju Wang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012466580","display_name":"Prabhu Babu","orcid":"https://orcid.org/0000-0002-9041-9010"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabhu Babu","raw_affiliation_strings":["Center for Applied Research in Electronics, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Research in Electronics, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054606088","display_name":"Daniel P. Palomar","orcid":"https://orcid.org/0000-0001-5250-4874"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Daniel P. Palomar","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9713,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.86763335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"65","issue":"12","first_page":"3247","last_page":"3260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.7073273062705994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544975638389587},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6059311032295227},{"id":"https://openalex.org/keywords/phase-noise","display_name":"Phase noise","score":0.5851224660873413},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5425525307655334},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5237695574760437},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5164337754249573},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4966951012611389},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.487676739692688},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47580891847610474},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.410614550113678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22638604044914246},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.21461617946624756},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17890307307243347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15047433972358704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12052732706069946},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11176338791847229}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.7073273062705994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544975638389587},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6059311032295227},{"id":"https://openalex.org/C89631360","wikidata":"https://www.wikidata.org/wiki/Q1428766","display_name":"Phase noise","level":2,"score":0.5851224660873413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5425525307655334},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5237695574760437},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5164337754249573},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4966951012611389},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.487676739692688},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47580891847610474},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.410614550113678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22638604044914246},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.21461617946624756},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17890307307243347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15047433972358704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12052732706069946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11176338791847229},{"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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsp.2017.2691672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2691672","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1610.01433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1610.01433","pdf_url":"https://arxiv.org/pdf/1610.01433","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-84244","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-84244","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-84244","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85019169427&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1610.01433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1610.01433","pdf_url":"https://arxiv.org/pdf/1610.01433","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":39,"referenced_works":["https://openalex.org/W1583497301","https://openalex.org/W1814500939","https://openalex.org/W1966309195","https://openalex.org/W1967073510","https://openalex.org/W1980502833","https://openalex.org/W1997834106","https://openalex.org/W2008049885","https://openalex.org/W2041237344","https://openalex.org/W2095018839","https://openalex.org/W2102536306","https://openalex.org/W2108150289","https://openalex.org/W2109368269","https://openalex.org/W2109501663","https://openalex.org/W2110144707","https://openalex.org/W2111563711","https://openalex.org/W2129674220","https://openalex.org/W2130090792","https://openalex.org/W2131351479","https://openalex.org/W2132147894","https://openalex.org/W2133575969","https://openalex.org/W2135895052","https://openalex.org/W2138196810","https://openalex.org/W2140396712","https://openalex.org/W2144576157","https://openalex.org/W2145695275","https://openalex.org/W2149414429","https://openalex.org/W2150817728","https://openalex.org/W2158979030","https://openalex.org/W2160484969","https://openalex.org/W2170102340","https://openalex.org/W2271221198","https://openalex.org/W2294078398","https://openalex.org/W2413211352","https://openalex.org/W2508393166","https://openalex.org/W2610857016","https://openalex.org/W2962834015","https://openalex.org/W4206196235","https://openalex.org/W4229706427","https://openalex.org/W6685014009"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W3097525855","https://openalex.org/W2125564215","https://openalex.org/W2517776947","https://openalex.org/W1986382998","https://openalex.org/W2084482193","https://openalex.org/W3118536199","https://openalex.org/W2972611783","https://openalex.org/W4317418808"],"abstract_inverted_index":{"Phase":[0],"noise":[1,24,49,74,121,146],"correction":[2],"is":[3],"crucial":[4],"to":[5,54,61,85,92,118,164],"exploit":[6],"full":[7],"advantage":[8],"of":[9,47,57,176],"orthogonal":[10],"frequency-division":[11],"multiplexing":[12],"(OFDM)":[13],"in":[14,79],"modern":[15],"high-data-rate":[16],"communications.":[17],"OFDM":[18],"channel":[19,76],"estimation":[20,77,130],"with":[21,144,162],"simultaneous":[22],"phase":[23,48,73,120,145],"compensation":[25],"has":[26],"therefore":[27],"drawn":[28],"much":[29,94,128,137],"attention":[30],"and":[31,75,112,123,126,168],"stimulated":[32],"continuing":[33],"efforts.":[34],"Existing":[35],"methods,":[36],"however,":[37],"either":[38],"have":[39,69],"not":[40],"taken":[41],"into":[42],"account":[43],"the":[44,71,80,99,133],"fundamental":[45],"properties":[46],"or":[50,151],"are":[51],"only":[52],"able":[53],"provide":[55],"estimates":[56],"limited":[58],"applicability":[59],"owing":[60],"considerable":[62],"computational":[63,139,166],"complexity.":[64],"In":[65,102],"this":[66],"paper,":[67],"we":[68,104],"reformulated":[70],"joint":[72],"problem":[78],"time":[81],"domain":[82],"as":[83],"opposed":[84],"existing":[86,160],"frequency-domain":[87],"approaches,":[88],"which":[89],"enables":[90],"us":[91],"develop":[93],"more":[95],"efficient":[96],"algorithms":[97,158],"using":[98],"majorization-minimization":[100],"technique.":[101],"addition,":[103],"propose":[105],"two":[106],"methods":[107,161],"based":[108],"on":[109],"dimensionality":[110],"reduction":[111],"regularization,":[113],"respectively,":[114],"that":[115,155],"can":[116],"adapt":[117],"various":[119],"levels":[122],"signal-to-noise":[124],"ratio":[125],"achieve":[127],"lower":[129],"errors":[131],"than":[132],"benchmarks":[134],"without":[135],"incurring":[136],"additional":[138],"cost.":[140],"Several":[141],"numerical":[142],"examples":[143],"generated":[147],"by":[148],"free-running":[149],"oscillators":[150],"phase-locked":[152],"loops":[153],"demonstrate":[154],"our":[156],"proposed":[157],"outperform":[159],"respect":[163],"both":[165],"efficiency":[167],"mean":[169],"squared":[170],"error":[171],"within":[172],"a":[173],"large":[174],"range":[175],"SNRs.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
