{"id":"https://openalex.org/W2183801250","doi":"https://doi.org/10.1109/pimrc.2015.7343297","title":"Constellation-wavelet transform automatic modulation identifier for M-ary QAM signals","display_name":"Constellation-wavelet transform automatic modulation identifier for M-ary QAM signals","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2183801250","doi":"https://doi.org/10.1109/pimrc.2015.7343297","mag":"2183801250"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2015.7343297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5100362239","display_name":"Tian Cai","orcid":"https://orcid.org/0000-0002-9668-6750"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Cai","raw_affiliation_strings":["Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417049","display_name":"Cheng Wang","orcid":"https://orcid.org/0009-0002-7196-4723"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076566366","display_name":"Gaofeng Cui","orcid":"https://orcid.org/0000-0001-9814-2768"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofeng Cui","raw_affiliation_strings":["Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432937","display_name":"Weidong Wang","orcid":"https://orcid.org/0000-0002-7772-6817"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Wang","raw_affiliation_strings":["Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information & Electronics Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100362239"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.7258,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88547654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"216"},"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":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.6305966973304749},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6255743503570557},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.6212851405143738},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.6044832468032837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.551761269569397},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5453616380691528},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5402637720108032},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5123344659805298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49768736958503723},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4441143274307251},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.435413122177124},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43479663133621216},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4214457869529724},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38190144300460815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36425068974494934},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.33250871300697327},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3247388005256653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21538928151130676},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.18917062878608704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14208775758743286},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0878257155418396},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07701396942138672}],"concepts":[{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.6305966973304749},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6255743503570557},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.6212851405143738},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.6044832468032837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.551761269569397},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5453616380691528},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5402637720108032},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5123344659805298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49768736958503723},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4441143274307251},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.435413122177124},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43479663133621216},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4214457869529724},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38190144300460815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36425068974494934},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.33250871300697327},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3247388005256653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21538928151130676},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.18917062878608704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14208775758743286},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0878257155418396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07701396942138672},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"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/pimrc.2015.7343297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1988650030","https://openalex.org/W2011681539","https://openalex.org/W2034776402","https://openalex.org/W2092578756","https://openalex.org/W2128716617","https://openalex.org/W2130014182","https://openalex.org/W2145186515","https://openalex.org/W2147735901","https://openalex.org/W2161981037","https://openalex.org/W2170778725","https://openalex.org/W2321202222","https://openalex.org/W6673820592"],"related_works":["https://openalex.org/W2144408025","https://openalex.org/W1506615375","https://openalex.org/W68308810","https://openalex.org/W2053682625","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2358271565","https://openalex.org/W1986475093","https://openalex.org/W2066485764"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,11,55],"identification":[2,173],"(AMI)":[3],"is":[4,19,51,134,187,197],"a":[5,14,34,52,141,221],"significant":[6],"technique":[7],"to":[8,41,58,114,143,164,180,211],"identify":[9,42],"the":[10,43,46,64,75,79,86,89,96,109,115,123,158,172,182,185,194,212],"type":[12,56],"of":[13,20,45,66,74,88,95,101,184,198],"received":[15,47,76,102],"signal,":[16,103],"and":[17,26,83,91,104,119,131,168,201],"it":[18,169,202],"great":[21],"importance":[22],"in":[23,147,157,215],"information":[24],"war":[25],"communication":[27],"countermeasure.":[28],"In":[29,136],"this":[30,137],"paper,":[31,138],"we":[32,69,105,139],"propose":[33,140],"constellation-wavelet":[35],"transform":[36,73,99,161],"automatic":[37],"identifier":[38],"(C-WT":[39],"AMI)":[40],"order":[44,111],"QAM":[48,50,67],"signal.":[49],"widely":[53],"used":[54],"due":[57,163],"its":[59],"high":[60],"spectrum":[61],"efficiency.":[62],"From":[63],"characteristics":[65],"constellation,":[68],"perform":[70],"Haar":[71,97,159],"wavelet":[72,98,126,160],"signal":[77,110],"with":[78,224],"most":[80,124],"appropriate":[81,125],"scale,":[82,127],"then":[84],"calculate":[85],"ratio":[87],"maximum":[90],"minimum":[92],"value":[93],"q\u030cM":[94,118],"magnitude":[100,162],"can":[106,203],"finally":[107],"determine":[108],"M":[112],"according":[113],"relationship":[116],"between":[117],"M.":[120],"To":[121],"compute":[122],"estimating":[128,144],"carrier":[129],"frequency":[130,133,146],"sampling":[132,145],"necessary.":[135],"method":[142],"practical":[148],"engineering":[149],"implement.":[150],"Considering":[151],"that":[152,193],"distinct":[153],"peaks":[154,186],"may":[155],"occur":[156],"symbol":[165],"phase":[166],"changes,":[167],"could":[170],"impact":[171],"correct":[174,226],"rate,":[175],"so":[176],"an":[177],"effective":[178],"algorithm":[179],"eliminate":[181],"influence":[183],"also":[188],"proposed.":[189],"Simulation":[190],"results":[191],"show":[192],"proposed":[195,214],"scheme":[196,219],"good":[199],"performance,":[200],"almost":[204],"be":[205],"inerrable":[206],"when":[207],"SNR>4dB.":[208],"Besides,":[209],"compared":[210],"methods":[213],"other":[216],"papers,":[217],"our":[218],"shows":[220],"better":[222],"performance":[223],"higher":[225],"rate.":[227]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}