{"id":"https://openalex.org/W3012333486","doi":"https://doi.org/10.1109/milcom47813.2019.9020842","title":"Data Augmentation for Blind Signal Classification","display_name":"Data Augmentation for Blind Signal Classification","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012333486","doi":"https://doi.org/10.1109/milcom47813.2019.9020842","mag":"3012333486"},"language":"en","primary_location":{"id":"doi:10.1109/milcom47813.2019.9020842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom47813.2019.9020842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","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/A5100396039","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-5397-9115"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["US Army Research Laboratory,Aberdeen Proving Ground,MD,21005","US Army Research Laboratory, Aberdeen Proving Ground, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory,Aberdeen Proving Ground,MD,21005","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory, Aberdeen Proving Ground, MD","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076163601","display_name":"Manuel M. Vindiola","orcid":"https://orcid.org/0000-0003-4420-3312"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manuel Vindiola","raw_affiliation_strings":["US Army Research Laboratory,Aberdeen Proving Ground,MD,21005","US Army Research Laboratory, Aberdeen Proving Ground, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory,Aberdeen Proving Ground,MD,21005","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory, Aberdeen Proving Ground, MD","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9754999876022339,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9660000205039978,"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/computer-science","display_name":"Computer science","score":0.7121459245681763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6835799813270569},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6274265646934509},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5825239419937134},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5519303679466248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5307151079177856},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4401315450668335},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4310906231403351},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43008026480674744},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4175572097301483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3623356819152832},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14904433488845825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121459245681763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6835799813270569},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6274265646934509},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5825239419937134},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5519303679466248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5307151079177856},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4401315450668335},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4310906231403351},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43008026480674744},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4175572097301483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3623356819152832},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14904433488845825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom47813.2019.9020842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom47813.2019.9020842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1580469463","https://openalex.org/W1686810756","https://openalex.org/W1971129545","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2170778725","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2773170971","https://openalex.org/W2899771611","https://openalex.org/W2946500481","https://openalex.org/W6637373629","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2924161931","https://openalex.org/W2981213860","https://openalex.org/W2019469476","https://openalex.org/W2580636385","https://openalex.org/W103332046","https://openalex.org/W598997827","https://openalex.org/W4307307693","https://openalex.org/W2144199528","https://openalex.org/W3127069801","https://openalex.org/W4294023778"],"abstract_inverted_index":{"The":[0,83,124],"Army":[1],"Rapid":[2],"Capabilities":[3],"Office":[4],"(RCO)":[5],"sponsored":[6],"a":[7,80,141],"Blind":[8],"Signal":[9],"Classification":[10],"Competition":[11],"seeking":[12],"Artificial":[13],"Intelligence/Machine":[14],"Learning":[15],"(AI/ML)":[16],"algorithms":[17],"to":[18,78,85,89,93,110,116,130,160,165,199],"automatically":[19],"identify":[20],"the":[21,40,71,95,111,119,132,137,166,182,188,200,205],"modulation":[22],"schemes":[23],"of":[24,46,97,121,126],"RF":[25,157,168,193],"signal":[26],"from":[27,136],"complex-valued":[28],"IQ":[29],"(in-phase":[30],"quadrature)":[31],"symbols.":[32],"Our":[33],"team,":[34],"dubbed":[35],"\u201cDeep":[36],"Dreamers\u201d,":[37],"participated":[38],"in":[39,114,204],"competition":[41],"and":[42,53,65,173,195],"placed":[43],"3rd":[44],"out":[45],"42":[47],"active":[48],"teams":[49,203],"across":[50],"industry,":[51],"academia,":[52],"government.":[54],"Deep":[55],"learning":[56,92,175],"methods":[57,176],"such":[58,177],"as":[59,178],"CNN,":[60],"Residual":[61],"Neural":[62],"Network":[63],"(ResNet),":[64],"Long":[66],"Short-Term":[67],"Memory":[68],"(LSTM)":[69],"are":[70],"fundamental":[72],"neural":[73],"network":[74],"models":[75,172],"we":[76,105],"used":[77],"develop":[79],"multi-class":[81],"classifier.":[82],"key":[84],"our":[86,122],"success":[87],"was":[88],"use":[90],"ensemble":[91,174],"average":[94],"outputs":[96],"multiple":[98],"diverse":[99],"classifiers.":[100],"In":[101],"this":[102],"following":[103],"study,":[104],"apply":[106],"Data":[107],"Augmentation":[108],"(DA)":[109],"data":[112,127,138,149,153,184],"set":[113,139,185],"order":[115],"further":[117],"increase":[118],"performance":[120],"models.":[123],"goal":[125],"augmentation":[128,154],"is":[129,159],"push":[131],"decision":[133,143],"boundary":[134,144],"learned":[135],"toward":[140],"better":[142],"by":[145],"adding":[146],"more":[147],"meaningful":[148],"points.":[150],"An":[151],"effective":[152],"method":[155],"for":[156,191],"signals":[158,194],"add":[161],"white":[162],"Gaussian":[163],"noise":[164],"existing":[167],"signals.":[169],"Individual":[170],"DL":[171],"blending":[179],"trained":[180],"over":[181],"augmented":[183],"significantly":[186],"improve":[187],"prediction":[189],"accuracies":[190],"weak":[192],"achieve":[196],"comparable":[197],"results":[198],"two":[201],"leading":[202],"competition.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
