{"id":"https://openalex.org/W7160592805","doi":"https://doi.org/10.1145/3803833.3803840","title":"Air Threat Defense System from Unidentified Drones Using Multi-Sensor AI","display_name":"Air Threat Defense System from Unidentified Drones Using Multi-Sensor AI","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7160592805","doi":"https://doi.org/10.1145/3803833.3803840"},"language":null,"primary_location":{"id":"doi:10.1145/3803833.3803840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803840","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3803833.3803840","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135674237","display_name":"Chakkrit Suwapong","orcid":"https://orcid.org/0000-0002-1217-664X"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Chakkrit Suwapong","raw_affiliation_strings":["School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-1217-664X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056044175","display_name":"Chitapong Wechtaisong","orcid":"https://orcid.org/0000-0002-4143-2227"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chitapong Wechtaisong","raw_affiliation_strings":["School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-4143-2227","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand","institution_ids":["https://openalex.org/I82475049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043237296","display_name":"Padej Pao-la-or","orcid":"https://orcid.org/0009-0008-0043-8922"},"institutions":[{"id":"https://openalex.org/I82475049","display_name":"Suranaree University of Technology","ror":"https://ror.org/05sgb8g78","country_code":"TH","type":"education","lineage":["https://openalex.org/I82475049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Padej Pao-la-or","raw_affiliation_strings":["School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-0043-8922","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand","institution_ids":["https://openalex.org/I82475049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5135674237"],"corresponding_institution_ids":["https://openalex.org/I82475049"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.98125501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.8949999809265137,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.8949999809265137,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.029500000178813934,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.015399999916553497,"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/drone","display_name":"Drone","score":0.7168999910354614},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5529999732971191},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4652000069618225},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4341000020503998},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.4165000021457672},{"id":"https://openalex.org/keywords/electromagnetic-environment","display_name":"Electromagnetic environment","score":0.40619999170303345},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.39160001277923584},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.38040000200271606},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7168999910354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63919997215271},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5713000297546387},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.4165000021457672},{"id":"https://openalex.org/C64183698","wikidata":"https://www.wikidata.org/wiki/Q4530886","display_name":"Electromagnetic environment","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C92018576","wikidata":"https://www.wikidata.org/wiki/Q3242194","display_name":"Power transmission","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.30959999561309814},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C152800680","wikidata":"https://www.wikidata.org/wiki/Q5408491","display_name":"Tactical communications","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.2919999957084656},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.28189998865127563},{"id":"https://openalex.org/C185565061","wikidata":"https://www.wikidata.org/wiki/Q6878284","display_name":"Radar lock-on","level":5,"score":0.26989999413490295},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3803833.3803840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803840","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3803833.3803840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803840","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2963037989"],"related_works":[],"abstract_inverted_index":{"The":[0,62,193,260,276],"rapid":[1],"proliferation":[2],"of":[3,281,300],"unmanned":[4],"aerial":[5],"vehicles":[6],"(UAVs)":[7],"has":[8],"posed":[9],"critical":[10],"challenges":[11],"to":[12,153,201,267,292,302],"airspace":[13],"security,":[14],"particularly":[15],"in":[16,205,272,306],"detecting":[17],"and":[18,26,44,52,59,77,100,108,115,134,144,157,165,175,187,190,197,208,217,233,264,288,309],"identifying":[19],"small,":[20],"low-altitude":[21],"drones":[22],"under":[23],"complex":[24],"environmental":[25],"electromagnetic":[27],"conditions.":[28],"This":[29],"research":[30],"presents":[31],"an":[32],"AI-driven":[33],"multi-sensor":[34,66],"air":[35,296],"defense":[36,297,310],"framework":[37,64,261],"that":[38,127,239],"integrates":[39],"radar,":[40],"acoustic,":[41],"radio-frequency":[42],"(RF),":[43],"vision":[45],"sensing":[46],"into":[47,131,225],"a":[48,92,138,250],"unified":[49],"deep-learning-based":[50,183],"detection":[51,113,125,212,247],"response":[53],"system":[54,121,242],"designed":[55],"for":[56,141,228],"real-world":[57,303],"scalability":[58],"networked":[60],"deployment.":[61],"proposed":[63,241],"employs":[65],"fusion":[67,143],"algorithms":[68],"built":[69],"upon":[70],"Convolutional":[71],"Neural":[72],"Networks":[73],"(CNNs),":[74],"Transformer":[75],"architectures,":[76],"Gaussian-Mixture":[78],"Probability":[79],"Hypothesis":[80],"Density":[81],"(GM-PHD)":[82],"multi-target":[83],"tracking.":[84],"Data":[85],"from":[86],"heterogeneous":[87],"sensors":[88],"are":[89],"synchronized":[90],"through":[91],"low-latency":[93],"communication":[94],"layer":[95],"based":[96],"on":[97],"UDP,":[98],"MQTT,":[99],"ROS2":[101],"protocols,":[102],"enabling":[103],"real-time":[104],"data":[105,133,191],"fusion,":[106,285],"classification,":[107],"threat":[109],"prioritization.":[110],"To":[111],"expand":[112],"coverage":[114],"reduce":[116],"transmission":[117,176],"power":[118,177,198,207],"requirements,":[119],"the":[120,240,279],"utilizes":[122],"multiple":[123,170],"distributed":[124],"nodes":[126],"convert":[128],"radar":[129,163,290],"signals":[130],"digitized":[132],"transmit":[135],"them":[136],"across":[137],"computer":[139],"network":[140],"centralized":[142],"decision-making.":[145],"A":[146],"hybrid":[147],"MATLAB\u2013Python":[148],"simulation":[149],"environment":[150],"was":[151],"developed":[152],"evaluate":[154],"both":[155,307],"sensor-level":[156],"network-level":[158],"performance.":[159],"MATLAB":[160],"modules":[161],"generate":[162],"waveforms":[164],"simulate":[166],"range\u2013Doppler":[167],"responses":[168],"over":[169,244],"frequency":[171,196,210],"bands":[172],"(2.4\u201310":[173],"GHz)":[174],"levels,":[178],"while":[179],"Python":[180],"(Colab)":[181],"performs":[182],"feature":[184],"extraction,":[185],"acoustic":[186],"RF":[188],"analysis,":[189],"visualization.":[192],"experiment":[194],"includes":[195],"sweep":[199],"simulations":[200],"investigate":[202],"how":[203],"variations":[204],"transmitted":[206],"operating":[209],"affect":[211],"range,":[213],"signal-to-noise":[214],"ratio":[215],"(SNR),":[216],"target":[218,230],"classification":[219],"accuracy.":[220],"These":[221],"tests":[222],"provide":[223],"insights":[224],"optimal":[226],"configurations":[227],"different":[229],"sizes,":[231],"materials,":[232],"motion":[234],"profiles.":[235],"Experimental":[236],"results":[237],"demonstrate":[238],"achieves":[243],"95":[245],"%":[246],"accuracy":[248],"with":[249],"false-alarm":[251],"rate":[252],"below":[253],"3":[254],"%,":[255],"outperforming":[256],"conventional":[257],"single-sensor":[258],"designs.":[259],"successfully":[262],"detected":[263],"tracked":[265],"up":[266],"five":[268],"concurrent":[269],"drone":[270],"targets":[271],"cluttered,":[273],"interference-rich":[274],"environments.":[275],"findings":[277],"highlight":[278],"potential":[280],"combining":[282],"multi-node":[283],"sensor":[284],"artificial":[286],"intelligence,":[287],"network-based":[289],"integration":[291],"advance":[293],"next-generation":[294],"autonomous":[295],"systems":[298],"capable":[299],"adapting":[301],"operational":[304],"demands":[305],"civilian":[308],"applications.":[311]},"counts_by_year":[],"updated_date":"2026-05-09T06:16:02.287421","created_date":"2026-05-09T00:00:00"}