{"id":"https://openalex.org/W4214757487","doi":"https://doi.org/10.1145/3488933.3488969","title":"Radiation emitter signal recognition based on VMD and IALO-SVM","display_name":"Radiation emitter signal recognition based on VMD and IALO-SVM","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214757487","doi":"https://doi.org/10.1145/3488933.3488969"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488969","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5100681895","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-2734-5071"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Jie","raw_affiliation_strings":["School of Telecommunication and Information Engineering&School of Artificial Intelligence, Xi'an University of Posts&Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering&School of Artificial Intelligence, Xi'an University of Posts&Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109305066","display_name":"Zhao Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Bo","raw_affiliation_strings":["School of Telecommunication and Information Engineering&School of Artificial Intelligence, Xi'an University of Posts&Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunication and Information Engineering&School of Artificial Intelligence, Xi'an University of Posts&Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100681895"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42306973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2013","issue":null,"first_page":"248","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9337999820709229,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6873968243598938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6550776958465576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863488912582397},{"id":"https://openalex.org/keywords/electronic-warfare","display_name":"Electronic warfare","score":0.5708538293838501},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5509490370750427},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.522427499294281},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4835898280143738},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.45400238037109375},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4382275342941284},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43771129846572876},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4326237142086029},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37011224031448364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1392824947834015},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08151000738143921}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873968243598938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6550776958465576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863488912582397},{"id":"https://openalex.org/C133082901","wikidata":"https://www.wikidata.org/wiki/Q272826","display_name":"Electronic warfare","level":3,"score":0.5708538293838501},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5509490370750427},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.522427499294281},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4835898280143738},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.45400238037109375},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4382275342941284},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43771129846572876},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4326237142086029},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37011224031448364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1392824947834015},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08151000738143921},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1145/3488933.3488969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488969","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":11,"referenced_works":["https://openalex.org/W1504820257","https://openalex.org/W1911119155","https://openalex.org/W2000982976","https://openalex.org/W2001979953","https://openalex.org/W2020403948","https://openalex.org/W2063424275","https://openalex.org/W2094878459","https://openalex.org/W2304380770","https://openalex.org/W2804264990","https://openalex.org/W2886145918","https://openalex.org/W3152689992"],"related_works":["https://openalex.org/W2320244802","https://openalex.org/W3202506802","https://openalex.org/W4245828353","https://openalex.org/W755765519","https://openalex.org/W560078765","https://openalex.org/W2090763504","https://openalex.org/W4207003041","https://openalex.org/W4255274072","https://openalex.org/W2387793127","https://openalex.org/W148178222"],"abstract_inverted_index":{"With":[0],"the":[1,9,27,65,72,92,101,114,126,142,152,159,166,173],"continuous":[2],"development":[3],"of":[4,33,95,154],"modern":[5],"electronic":[6],"warfare":[7],"technology,":[8],"enemy":[10],"radar":[11,34,73],"signals":[12,116],"captured":[13],"in":[14],"complex":[15],"environments":[16],"usually":[17],"have":[18],"very":[19],"few":[20],"useful":[21],"signals.":[22],"In":[23,37],"order":[24],"to":[25,58,70,85,120,134],"improve":[26],"recognition":[28,149,167],"accuracy":[29],"and":[30,50,89,100,107,172],"anti-noise":[31,178],"performance":[32],"emitter":[35],"signal(RES),":[36],"this":[38],"paper,":[39],"an":[40],"RES":[41],"identification":[42],"method":[43,143,174],"based":[44],"on":[45],"variational":[46],"mode":[47,78],"decomposition":[48],"(VMD)":[49],"improved":[51],"ant":[52],"lion":[53],"optimization":[54],"(IALO)":[55],"is":[56,68,132,161],"proposed":[57],"optimize":[59],"support":[60],"vector":[61],"machine(SVM)":[62],"parameters.":[63],"Firstly,":[64],"VMD":[66],"algorithm":[67],"used":[69,84,133],"decompose":[71],"signal":[74],"into":[75],"six":[76],"intrinsic":[77],"functions":[79],"(IMF).":[80],"Correlation":[81],"coefficients":[82],"were":[83,111],"distinguish":[86],"correlative":[87],"modes":[88],"uncorrelative":[90],"modes,":[91],"dominant":[93],"component":[94],"noise":[96],"was":[97],"denoised":[98],"locally,":[99],"information":[102],"dimension(DI),":[103],"fractal":[104],"box":[105],"dimension(DF)":[106],"weighted":[108],"percolation":[109],"entropy(WPE)":[110],"extracted":[112],"from":[113],"reconstructed":[115],"for":[117],"feature":[118,123],"fusion":[119],"form":[121],"three-dimensional":[122],"vectors.":[124],"Finally,":[125],"SVM":[127],"with":[128],"optimized":[129],"IALO":[130],"parameters":[131],"identify":[135],"RES.":[136],"The":[137],"simulation":[138],"results":[139],"show":[140],"that":[141],"can":[144,169],"still":[145],"get":[146],"a":[147,176],"high":[148],"rate":[150,168],"under":[151],"condition":[153],"low":[155],"signal-to-noise":[156],"ratio(SNR),":[157],"when":[158],"SNR":[160],"not":[162],"less":[163],"than":[164],"0dB,":[165],"reaches":[170],"100%,":[171],"has":[175],"strong":[177],"performance.":[179]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}