{"id":"https://openalex.org/W2081425461","doi":"https://doi.org/10.1109/glocom.2011.6133627","title":"Optimal and Approximate Methods for Detection of Uncoded Data with Carrier Phase Noise","display_name":"Optimal and Approximate Methods for Detection of Uncoded Data with Carrier Phase Noise","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2081425461","doi":"https://doi.org/10.1109/glocom.2011.6133627","mag":"2081425461"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2011.6133627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6133627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publications.lib.chalmers.se/records/fulltext/local_143348.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111031253","display_name":"R. Krishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"R. Krishnan","raw_affiliation_strings":["Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]"],"affiliations":[{"raw_affiliation_string":"Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069955987","display_name":"Hani Mehrpouyan","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"H. Mehrpouyan","raw_affiliation_strings":["Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]"],"affiliations":[{"raw_affiliation_string":"Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011869976","display_name":"Thomas Eriksson","orcid":"https://orcid.org/0000-0002-2087-7227"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"T. Eriksson","raw_affiliation_strings":["Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]"],"affiliations":[{"raw_affiliation_string":"Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086726797","display_name":"Tommy Svensson","orcid":"https://orcid.org/0000-0002-2579-9002"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"T. Svensson","raw_affiliation_strings":["Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]"],"affiliations":[{"raw_affiliation_string":"Division of Communication Systems and Information Theory, Department of Signals and Systems, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Signals and systems, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111031253"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":1.6209,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85189123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9969000220298767,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"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/noise","display_name":"Noise (video)","score":0.6619051694869995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6224783658981323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.530154287815094},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5198457837104797},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5181344747543335},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5009498596191406},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.49514713883399963},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4564736485481262},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45392510294914246},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.44991135597229004},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.43601056933403015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37615931034088135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3496971130371094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16431471705436707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.126081645488739},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08185863494873047}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6619051694869995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6224783658981323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.530154287815094},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5198457837104797},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5181344747543335},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5009498596191406},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.49514713883399963},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4564736485481262},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45392510294914246},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.44991135597229004},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.43601056933403015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37615931034088135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3496971130371094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16431471705436707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.126081645488739},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08185863494873047},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/glocom.2011.6133627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2011.6133627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Global Telecommunications Conference - GLOBECOM 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:143348","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/143348","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/local_143348.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.5875","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.5875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mehrpouyan.info/GC_2011_DETECTION.pdf","raw_type":"text"},{"id":"pmh:oai:publications.lib.chalmers.se:143348","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/143348-optimal-and-approximate-methods-for-detection-of-uncoded-data-with-carrier-phase-noise","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Conference.PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:research.chalmers.se:143348","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/143348","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/local_143348.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2081425461.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W107455124","https://openalex.org/W250076511","https://openalex.org/W591205089","https://openalex.org/W1479887491","https://openalex.org/W1525535255","https://openalex.org/W1536252645","https://openalex.org/W1555854214","https://openalex.org/W1987137689","https://openalex.org/W2026395333","https://openalex.org/W2072959221","https://openalex.org/W2079719327","https://openalex.org/W2094135260","https://openalex.org/W2095820115","https://openalex.org/W2108593406","https://openalex.org/W2111055833","https://openalex.org/W2117874011","https://openalex.org/W2120130718","https://openalex.org/W2126259042","https://openalex.org/W2129362928","https://openalex.org/W2136755712","https://openalex.org/W2798333393","https://openalex.org/W2798949726","https://openalex.org/W4248676392"],"related_works":["https://openalex.org/W1856957993","https://openalex.org/W2038575089","https://openalex.org/W1966535600","https://openalex.org/W1995090402","https://openalex.org/W2043939287","https://openalex.org/W2387156362","https://openalex.org/W2036807298","https://openalex.org/W2074073404","https://openalex.org/W4285814784","https://openalex.org/W2072903707"],"abstract_inverted_index":{"Previous":[0],"results":[1,163],"in":[2,29],"the":[3,10,30,45,48,55,77,87,104,112,116,134,143,175],"literature":[4],"have":[5],"shown":[6],"that":[7,86,111,165],"derivation":[8],"of":[9,19,32,47,54,76,100,103,107,115,119,182],"optimum":[11],"maximum-likelihood":[12],"(ML)":[13],"receiver":[14,145],"for":[15,90,153,178],"symbol-by-symbol":[16],"(SBS)":[17],"detection":[18,75,155],"an":[20,37],"uncoded":[21],"data":[22],"sequence":[23,78],"based":[24,79,141],"on":[25,80,142],"all":[26,81],"received":[27,82],"signals":[28],"presence":[31],"random":[33],"phase":[34,56,108,120,183],"noise":[35,57,121,184],"is":[36,41,71,129],"intractable":[38],"problem.":[39],"This":[40],"because":[42],"it":[43],"involves":[44],"computation":[46],"conditional":[49,105,117],"probability":[50,68],"distribution":[51],"function":[52],"(PDF)":[53],"process.":[58],"In":[59],"this":[60,91,125],"paper,":[61],"we":[62,147],"seek":[63],"to":[64,133,169],"minimize":[65],"symbol":[66],"error":[67],"(SEP),":[69],"which":[70],"achieved":[72],"by":[73],"SBS":[74,154],"signals.":[83],"We":[84],"show":[85],"ML":[88,138],"detector":[89],"problem":[92],"can":[93,122,171],"be":[94,123,172],"formulated":[95],"as":[96],"a":[97,149,179],"weighted":[98],"sum":[99],"central":[101,113],"moments":[102,114],"PDF":[106,118],"noise.":[109],"Given":[110],"estimated,":[124],"new":[126,144],"optimal":[127,137],"structure":[128],"tractable":[130],"with":[131],"respect":[132],"previously":[135],"known":[136],"receiver.":[139],"Furthermore,":[140],"structure,":[146],"propose":[148],"simple":[150],"approximate":[151],"method":[152,177],"and":[156,160,186],"investigate":[157],"its":[158],"scope":[159],"applicability.":[161],"Simulation":[162],"demonstrate":[164],"SEP":[166],"performance":[167],"close":[168],"optimality":[170],"obtained":[173],"through":[174],"proposed":[176],"wide":[180],"range":[181],"variances":[185],"low":[187],"signal-to-noise":[188],"ratio":[189],"(SNR).":[190]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
