{"id":"https://openalex.org/W2078562362","doi":"https://doi.org/10.1109/glocom.2012.6503737","title":"Modulation classification based on Gaussian mixture models under multipath fading channel","display_name":"Modulation classification based on Gaussian mixture models under multipath fading channel","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2078562362","doi":"https://doi.org/10.1109/glocom.2012.6503737","mag":"2078562362"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2012.6503737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","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/A5010511823","display_name":"Jason Gejie Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jason Gejie Liu","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","Department of Electrical and Computer Engineering, The University of Western Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733413","display_name":"Xianbin Wang","orcid":"https://orcid.org/0000-0003-4890-0748"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianbin Wang","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","Department of Electrical and Computer Engineering, The University of Western Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070869044","display_name":"Jay Nadeau","orcid":"https://orcid.org/0000-0001-5258-0076"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jay Nadeau","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","Department of Electrical and Computer Engineering, The University of Western Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011665213","display_name":"Hai Lin","orcid":"https://orcid.org/0000-0002-6364-348X"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hai Lin","raw_affiliation_strings":["Dept. of Electrical and Information Systems, Osaka Prefecture University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Information Systems, Osaka Prefecture University, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2602,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.50273046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3970","last_page":"3974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9337999820709229,"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/multipath-propagation","display_name":"Multipath propagation","score":0.8040745258331299},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7929056882858276},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7394402623176575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6266419887542725},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5697605609893799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5447713732719421},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5075463056564331},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.49039721488952637},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4541832506656647},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4529690444469452},{"id":"https://openalex.org/keywords/fading-distribution","display_name":"Fading distribution","score":0.4140038788318634},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3914593458175659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2801715135574341},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.2787625193595886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27484816312789917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21152731776237488},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19329696893692017},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.17701533436775208},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09263470768928528},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05932840704917908}],"concepts":[{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.8040745258331299},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7929056882858276},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7394402623176575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266419887542725},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5697605609893799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5447713732719421},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5075463056564331},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.49039721488952637},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4541832506656647},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4529690444469452},{"id":"https://openalex.org/C161126049","wikidata":"https://www.wikidata.org/wiki/Q5429266","display_name":"Fading distribution","level":5,"score":0.4140038788318634},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3914593458175659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2801715135574341},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.2787625193595886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27484816312789917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21152731776237488},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19329696893692017},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.17701533436775208},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09263470768928528},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05932840704917908},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2012.6503737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2005956500","https://openalex.org/W2015234197","https://openalex.org/W2033178790","https://openalex.org/W2079756169","https://openalex.org/W2126638098","https://openalex.org/W2132350120","https://openalex.org/W2132820343","https://openalex.org/W2151126399","https://openalex.org/W2165670531","https://openalex.org/W6682389960"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2114899076","https://openalex.org/W2368486525","https://openalex.org/W1783992599","https://openalex.org/W805531662","https://openalex.org/W2077224612","https://openalex.org/W2153481672","https://openalex.org/W2133422797","https://openalex.org/W84255947","https://openalex.org/W2891133681"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,10,50,59,70,90,102,112,123],"classification":[4],"of":[5,12,114,128],"digital":[6],"modulation":[7,21,55,116],"schemes":[8,56],"in":[9,87],"presence":[11],"multipath":[13,74,139],"fading":[14,75,140],"channels":[15],"and":[16,46,138],"additive":[17],"noise.":[18],"A":[19,80],"novel":[20],"recognition":[22],"approach":[23,125],"is":[24,85,97,126],"proposed":[25,124],"based":[26,57],"on":[27,58],"Gaussian":[28,95],"Mixture":[29],"Models":[30],"(GMM).":[31],"Our":[32],"basic":[33],"procedure":[34],"involves":[35],"parameter":[36],"estimation":[37,84],"using":[38,62],"GMM":[39],"to":[40,48,68,100,110],"set":[41],"up":[42],"an":[43,77],"offline":[44],"database":[45,60],"then":[47],"classify":[49],"received":[51],"signal":[52],"into":[53],"different":[54],"by":[61],"Kullback-Leibler":[63],"(K-L)":[64],"Divergence.":[65],"In":[66],"order":[67],"mitigate":[69],"negative":[71],"impact":[72],"from":[73],"channels,":[76],"iterative":[78],"Maximum":[79],"Posteriori":[81],"(MAP)-based":[82],"channel":[83],"used":[86],"conjunction":[88],"with":[89,133],"Expectation-Maximization":[91],"(EM)":[92],"algorithm.":[93],"Furthermore,":[94],"approximation":[96],"carried":[98],"out":[99],"decrease":[101],"computational":[103],"complexity.":[104],"Monte":[105],"Carlo":[106],"simulations":[107],"are":[108],"conducted":[109],"evaluate":[111],"performance":[113,135],"individual":[115],"scheme":[117],"classification.":[118],"Numerical":[119],"results":[120],"show":[121],"that":[122],"capable":[127],"recognizing":[129],"various":[130],"modulated":[131],"signals":[132],"improved":[134],"under":[136],"AWGN":[137],"channels.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
