{"id":"https://openalex.org/W2916832800","doi":"https://doi.org/10.1109/glocom.2018.8647973","title":"Classification of Small UAVs Based on Auxiliary Classifier Wasserstein GANs","display_name":"Classification of Small UAVs Based on Auxiliary Classifier Wasserstein GANs","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2916832800","doi":"https://doi.org/10.1109/glocom.2018.8647973","mag":"2916832800"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5103097681","display_name":"Caidan Zhao","orcid":"https://orcid.org/0000-0001-9682-4159"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caidan Zhao","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020904524","display_name":"Caiyun Chen","orcid":"https://orcid.org/0009-0009-0716-5573"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiyun Chen","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085259971","display_name":"Zhibiao Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibiao Cai","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079492510","display_name":"Mingxian Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxian Shi","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060514022","display_name":"Xiaojiang Du","orcid":"https://orcid.org/0000-0003-4235-9671"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojiang Du","raw_affiliation_strings":["Dept. of Computer and Information Science, Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Science, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057916222","display_name":"Mohsen Guizani","orcid":"https://orcid.org/0000-0002-8972-8094"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Guizani","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Idaho, Mosocow, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Idaho, Mosocow, USA","institution_ids":["https://openalex.org/I155093810"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.293,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.89828631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11133","display_name":"UAV Applications and Optimization","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8024657368659973},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6063982844352722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5822482109069824},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.561091959476471},{"id":"https://openalex.org/keywords/universal-software-radio-peripheral","display_name":"Universal Software Radio Peripheral","score":0.5423534512519836},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4923602342605591},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49019843339920044},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46160688996315},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.44556793570518494},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44551870226860046},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.43318891525268555},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.42634305357933044},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.41857320070266724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41653287410736084},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41491761803627014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3737463653087616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3727598190307617},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11222708225250244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024657368659973},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6063982844352722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822482109069824},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.561091959476471},{"id":"https://openalex.org/C192220659","wikidata":"https://www.wikidata.org/wiki/Q1245659","display_name":"Universal Software Radio Peripheral","level":3,"score":0.5423534512519836},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4923602342605591},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49019843339920044},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46160688996315},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.44556793570518494},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44551870226860046},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.43318891525268555},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42634305357933044},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.41857320070266724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41653287410736084},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41491761803627014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3737463653087616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3727598190307617},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11222708225250244}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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":50,"referenced_works":["https://openalex.org/W1539897095","https://openalex.org/W1752315353","https://openalex.org/W1967754176","https://openalex.org/W1982584225","https://openalex.org/W2014258443","https://openalex.org/W2014534232","https://openalex.org/W2080765376","https://openalex.org/W2098951456","https://openalex.org/W2099471712","https://openalex.org/W2114337635","https://openalex.org/W2115419968","https://openalex.org/W2147997621","https://openalex.org/W2154080178","https://openalex.org/W2170018742","https://openalex.org/W2173520492","https://openalex.org/W2394585075","https://openalex.org/W2434741482","https://openalex.org/W2464322612","https://openalex.org/W2515298736","https://openalex.org/W2517389839","https://openalex.org/W2571149404","https://openalex.org/W2588607425","https://openalex.org/W2593414223","https://openalex.org/W2596623713","https://openalex.org/W2604953417","https://openalex.org/W2605135824","https://openalex.org/W2607172015","https://openalex.org/W2611848484","https://openalex.org/W2613927007","https://openalex.org/W2623923152","https://openalex.org/W2732128893","https://openalex.org/W2739491688","https://openalex.org/W2743056029","https://openalex.org/W2755588152","https://openalex.org/W2761916369","https://openalex.org/W2765885907","https://openalex.org/W2949496494","https://openalex.org/W2950776302","https://openalex.org/W2963226019","https://openalex.org/W2963684088","https://openalex.org/W2964201867","https://openalex.org/W3037567775","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6653990377","https://openalex.org/W6681739910","https://openalex.org/W6685352114","https://openalex.org/W6726157523","https://openalex.org/W6737148494","https://openalex.org/W6738890344"],"related_works":["https://openalex.org/W2354005007","https://openalex.org/W4240981602","https://openalex.org/W2885293340","https://openalex.org/W3114506410","https://openalex.org/W3112393028","https://openalex.org/W2344657187","https://openalex.org/W4322721277","https://openalex.org/W4387382336","https://openalex.org/W1983936910","https://openalex.org/W6057950"],"abstract_inverted_index":{"Beyond":[0],"their":[1],"benign":[2],"uses,":[3],"the":[4,14,24,27,36,62,79,115,120,126,129,140,163,168,176,179,192,201],"small":[5,101],"Unmanned":[6],"Aerial":[7],"Vehicles":[8],"(UAVs)":[9],"are":[10],"expected":[11],"to":[12,77,90,138,147,162],"take":[13],"major":[15],"role":[16],"in":[17,191,200],"future":[18],"smart":[19],"cities":[20],"that":[21],"have":[22],"attracted":[23],"attention":[25],"of":[26,38,85,122,167,178,188],"public":[28],"and":[29,34,44,58,136,144,195],"authorities.":[30],"Therefore,":[31],"detecting,":[32],"tracking":[33],"classifying":[35],"type":[37],"UAVs":[39,50,80,102,121,159],"is":[40,160],"important":[41],"for":[42,87,170],"surveillance":[43],"air":[45],"traffic":[46],"management":[47],"applications.":[48],"Existing":[49],"detection":[51],"works":[52],"focus":[53],"on":[54,114],"radars,":[55],"visual":[56],"detection,":[57],"acoustic":[59],"sensors.":[60],"However,":[61],"work":[63],"was":[64],"done":[65],"by":[66],"applying":[67],"Support":[68],"Vector":[69],"Machine":[70],"(SVM),":[71],"k-Nearest":[72],"Neighbor":[73],"(KNN)":[74],"based":[75,113],"methods":[76],"classify":[78],"need":[81],"a":[82,92,99,151,185],"large":[83],"number":[84],"samples":[86],"feature":[88],"extraction":[89],"train":[91],"model.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"propose":[98],"new":[100],"classification":[103],"system":[104],"using":[105,128],"Auxiliary":[106],"Classifier":[107],"Wasserstein":[108],"Generative":[109],"Adversarial":[110],"Networks":[111],"(AC-WGANs)":[112],"wireless":[116,141],"signals":[117],"collected":[118],"from":[119,158],"various":[123],"types.":[124],"Before":[125],"classification,":[127],"Universal":[130],"Software":[131],"Radio":[132],"Peripheral":[133],"(USRP),":[134],"oscilloscope":[135],"antenna":[137],"collect":[139],"signals,":[142],"preprocessing":[143],"dimensionality":[145],"reduction":[146],"represent":[148],"information":[149],"at":[150],"lower":[152],"dimension":[153],"space.":[154],"The":[155,172],"processed":[156],"data":[157],"input":[161],"UAVs'":[164],"discriminant":[165],"model":[166],"AC-WGANs":[169],"classification.":[171],"obtained":[173],"results":[174],"show":[175],"effectiveness":[177],"proposed":[180],"system,":[181],"which":[182],"can":[183,196],"achieve":[184],"recognition":[186],"accuracy":[187],"around":[189],"95%":[190],"indoor":[193],"environment":[194],"also":[197],"be":[198],"suitable":[199],"outdoor":[202],"environment.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}