{"id":"https://openalex.org/W4413212815","doi":"https://doi.org/10.1109/tvt.2025.3597638","title":"Reinforcement Learning for Joint Radar and Communication Enabled Multi-UAV Cooperative Dynamic Target Detection and Tracking","display_name":"Reinforcement Learning for Joint Radar and Communication Enabled Multi-UAV Cooperative Dynamic Target Detection and Tracking","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4413212815","doi":"https://doi.org/10.1109/tvt.2025.3597638"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3597638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3597638","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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":null,"display_name":"Junxu Cheng","orcid":"https://orcid.org/0000-0001-8808-8884"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxu Cheng","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8808-8884","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kehao Wang","orcid":"https://orcid.org/0000-0001-9843-8104"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehao Wang","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9843-8104","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005670024","display_name":"Hyundong Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyundong Shin","raw_affiliation_strings":["Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, South Korea","Department of Electronic Engineering, Kyung Hee University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3364-8084","affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, South Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Electronic Engineering, Kyung Hee University, Seoul, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q. S. Quek","raw_affiliation_strings":["Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4037-3149","affiliations":[{"raw_affiliation_string":"Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067048409","display_name":"Moe Z. Win","orcid":"https://orcid.org/0000-0002-8573-0488"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moe Win","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8573-0488","affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]},{"raw_affiliation_string":"Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92718543,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"75","issue":"2","first_page":"2952","last_page":"2968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9290000200271606,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9290000200271606,"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/radar-tracker","display_name":"Radar tracker","score":0.7012589573860168},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6802833676338196},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5988532304763794},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5594531893730164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5553245544433594},{"id":"https://openalex.org/keywords/radar-detection","display_name":"Radar detection","score":0.4916704297065735},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4872792959213257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4692917764186859},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.4328880310058594},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40792959928512573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.39731618762016296},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.24398937821388245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23352742195129395},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.2288857102394104}],"concepts":[{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.7012589573860168},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6802833676338196},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5988532304763794},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5594531893730164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553245544433594},{"id":"https://openalex.org/C2989048297","wikidata":"https://www.wikidata.org/wiki/Q930654","display_name":"Radar detection","level":3,"score":0.4916704297065735},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4872792959213257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4692917764186859},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.4328880310058594},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40792959928512573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.39731618762016296},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.24398937821388245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23352742195129395},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.2288857102394104},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3597638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3597638","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1693347154","display_name":null,"funder_award_id":"62371353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7965043138","display_name":null,"funder_award_id":"62172313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1544261405","https://openalex.org/W2096552072","https://openalex.org/W2752501796","https://openalex.org/W2972820227","https://openalex.org/W2978060888","https://openalex.org/W2979035384","https://openalex.org/W3013089722","https://openalex.org/W3024101484","https://openalex.org/W3035005654","https://openalex.org/W3035330356","https://openalex.org/W3048386157","https://openalex.org/W3113076115","https://openalex.org/W3203702019","https://openalex.org/W3203916308","https://openalex.org/W3216889948","https://openalex.org/W4200437826","https://openalex.org/W4214717370","https://openalex.org/W4220891921","https://openalex.org/W4250589301","https://openalex.org/W4310257962","https://openalex.org/W4313476493","https://openalex.org/W4321609295","https://openalex.org/W4387952116","https://openalex.org/W4396506414","https://openalex.org/W4399618476","https://openalex.org/W4399665748","https://openalex.org/W4400276147","https://openalex.org/W4406793899"],"related_works":["https://openalex.org/W2363683226","https://openalex.org/W2424544976","https://openalex.org/W2079721542","https://openalex.org/W2777039476","https://openalex.org/W2115044374","https://openalex.org/W2550588817","https://openalex.org/W1996703098","https://openalex.org/W4381745504","https://openalex.org/W1974311529","https://openalex.org/W4402809527"],"abstract_inverted_index":{"Joint":[0],"radar":[1],"and":[2,21,28,49,68,79,87,93,105,117,128,149,161,172,196,227],"communication":[3,94,102],"(JRC)-enabled":[4],"multiple":[5],"unmanned":[6],"aerial":[7],"vehicles":[8],"(UAVs)":[9],"are":[10,181],"gaining":[11],"attention":[12],"due":[13],"to":[14,17,167,185],"their":[15],"potential":[16],"improve":[18],"spectrum":[19],"utilization":[20],"provide":[22],"enhanced":[23],"flexibility":[24],"in":[25,71,132,170,224],"target":[26,66,126,225],"detection":[27,67,78,92,127],"tracking.":[29],"However,":[30],"most":[31],"existing":[32],"studies":[33],"focus":[34],"solely":[35],"on":[36],"a":[37,61,89,122,210],"single":[38],"UAV":[39,47,74,106,139,147],"or":[40],"static":[41],"environment,":[42],"neglecting":[43],"the":[44,50,53,82,113,134,144,153,217],"benefits":[45],"of":[46,52,84,115,137,158,193],"cooperation":[48],"complexity":[51],"dynamic":[54,65],"environment.":[55,150],"In":[56,151],"this":[57],"paper,":[58],"we":[59,120],"consider":[60],"JRCenabled":[62],"multi-UAV":[63],"cooperative":[64,125],"tracking":[69,129,226],"scenario,":[70],"which":[72,133,221],"each":[73,138],"simultaneously":[75],"performs":[76],"both":[77],"communication.":[80],"Given":[81],"constraints":[83],"JRC":[85],"power":[86],"spectrum,":[88],"trade-off":[90],"between":[91,146],"performance":[95],"is":[96,140,164],"required":[97],"such":[98],"that":[99,206],"sensing":[100,159,229],"power,":[101],"channel":[103],"allocation,":[104],"trajectories":[107],"should":[108],"be":[109],"jointly":[110],"optimized.":[111],"Considering":[112],"challenge":[114],"integer":[116],"non-convex":[118],"constraints,":[119],"propose":[121],"reinforcement":[123],"learningbased":[124],"(RLCTDT)":[130],"algorithm":[131],"optimal":[135],"strategy":[136],"iteratively":[141],"derived":[142],"through":[143],"interaction":[145],"swarm":[148],"particular,":[152],"reward":[154,215],"function,":[155],"mainly":[156],"consisting":[157],"rewards":[160],"guidance":[162],"rewards,":[163],"newly":[165],"designed":[166],"guide":[168],"UAVs":[169],"exploring":[171],"exploiting":[173],"environment":[174,228],"information":[175],"efficiently.":[176],"Recurrent":[177],"neural":[178],"networks":[179],"(RNNs)":[180],"introduced":[182],"into":[183],"RLCTDT":[184],"abstract":[186],"history":[187,198],"observations":[188],"for":[189,200],"improving":[190],"estimation":[191],"accuracy":[192],"state":[194],"value":[195],"utilize":[197],"actions":[199],"better":[201],"decision-making.":[202],"Numerical":[203],"experiments":[204],"indicate":[205],"our":[207],"approach":[208],"achieves":[209],"16%":[211],"higher":[212],"stabilized":[213],"system":[214],"than":[216],"best":[218],"baseline,":[219],"RLCTDT-KL,":[220],"reflects":[222],"improvements":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-13T13:36:01.753593","created_date":"2025-10-10T00:00:00"}
