{"id":"https://openalex.org/W4362514710","doi":"https://doi.org/10.1109/access.2023.3264018","title":"RHM-\u03b4-GLMB Tracking Algorithm on the Focal Plane for UAV Cluster Targets","display_name":"RHM-\u03b4-GLMB Tracking Algorithm on the Focal Plane for UAV Cluster Targets","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4362514710","doi":"https://doi.org/10.1109/access.2023.3264018"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3264018","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264018","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10090945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10090945.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017578005","display_name":"Yijin Wang","orcid":"https://orcid.org/0000-0001-6149-2609"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijin Wang","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6149-2609","affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060047479","display_name":"Chuangming Tong","orcid":"https://orcid.org/0000-0002-2379-9682"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuangming Tong","raw_affiliation_strings":["Air and Missile Defense College, Air Force Engineering University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-2379-9682","affiliations":[{"raw_affiliation_string":"Air and Missile Defense College, Air Force Engineering University, Xi’an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017276235","display_name":"Jiahao Xie","orcid":"https://orcid.org/0000-0002-0654-3335"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Xie","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0654-3335","affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3263,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62612328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"37253","last_page":"37268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9987999796867371,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9987999796867371,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9916999936103821,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9840999841690063,"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":0.6535208821296692},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.571372389793396},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5609113574028015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5363788604736328},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.45936766266822815},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4276609420776367},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4166184067726135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40178659558296204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39740777015686035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19109347462654114},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12489601969718933},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11201736330986023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535208821296692},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.571372389793396},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5609113574028015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5363788604736328},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.45936766266822815},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4276609420776367},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4166184067726135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40178659558296204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39740777015686035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19109347462654114},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12489601969718933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11201736330986023},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/access.2023.3264018","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264018","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10090945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d304a3e2700a45368c0401cd77a6e07e","is_oa":true,"landing_page_url":"https://doaj.org/article/d304a3e2700a45368c0401cd77a6e07e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 37253-37268 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3264018","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264018","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10090945.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2448105156","display_name":null,"funder_award_id":"2021JQ-365","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G680898884","display_name":null,"funder_award_id":"62201611","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"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362514710.pdf","grobid_xml":"https://content.openalex.org/works/W4362514710.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W813334110","https://openalex.org/W2007097714","https://openalex.org/W2018275473","https://openalex.org/W2126885789","https://openalex.org/W2202516779","https://openalex.org/W2265672336","https://openalex.org/W2465220172","https://openalex.org/W2791531289","https://openalex.org/W2969301415","https://openalex.org/W3001205389","https://openalex.org/W3004326754","https://openalex.org/W3024026690","https://openalex.org/W3112803870","https://openalex.org/W3120389504","https://openalex.org/W3125201581","https://openalex.org/W3127407467","https://openalex.org/W3136401958","https://openalex.org/W3162363345","https://openalex.org/W3196365599","https://openalex.org/W3208486010","https://openalex.org/W4220825193","https://openalex.org/W4226229863","https://openalex.org/W4289535600","https://openalex.org/W4312796324"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W2373557848","https://openalex.org/W2002488624","https://openalex.org/W2088970451","https://openalex.org/W4309225183","https://openalex.org/W2157008402"],"abstract_inverted_index":{"This":[0],"paper":[1],"offers":[2],"a":[3,34,87,120],"new":[4],"tracking":[5,39,213],"algorithm":[6,147,177,197],"for":[7,155],"clustered":[8],"targets":[9,54],"of":[10,51,123,141,214],"focal":[11,42],"plane":[12],"unmanned":[13],"aerial":[14],"vehicles":[15],"(UAVs)":[16],"by":[17,55,85],"integrating":[18],"the":[19,26,47,57,73,92,105,111,124,135,150,163,169,184,196],"random":[20],"hypersurface":[21],"model":[22,24,70,107],"(RHM)":[23],"into":[25],"\u03b4-generalized":[27],"label":[28],"multi-Bernoulli":[29],"(\u03b4-GLMB)":[30],"filter":[31,113],"to":[32,71,81,90,100,148,201,210],"guarantee":[33],"robust":[35],"UAV":[36,52,215],"cluster":[37,53,216],"target":[38,58,185],"on":[40],"such":[41],"planes.":[43],"We":[44,132],"first":[45],"investigated":[46],"infrared":[48,156],"imaging":[49,59],"features":[50],"emphasizing":[56],"size":[60],"and":[61,79,114,129,161,188,203],"dispersion.":[62],"Next,":[63],"we":[64],"designed":[65],"an":[66],"elliptical":[67],"RHM-based":[68],"measurement":[69,102,159,170],"map":[72],"measurement,":[74],"state":[75,128],"parameters,":[76],"scaling":[77],"factors,":[78],"errors":[80],"pseudo-measurement":[82,88],"\"0\",":[83],"followed":[84],"establishing":[86],"equation":[89],"reflect":[91],"target\u2019s":[93],"extended":[94,130,189],"shape":[95],"size.":[96],"Then,":[97],"in":[98,168,183],"order":[99],"enhance":[101],"estimation":[103],"accuracy,":[104],"RHM":[106],"was":[108,198],"implemented":[109],"with":[110,143],"\u03b4-GLMB":[112],"Gamma-Gaussian":[115],"mixture,":[116],"which":[117],"can":[118],"perform":[119],"real-time":[121],"estimate":[122],"targets\u2019":[125],"centroid":[126,186],"motion":[127,187],"state.":[131],"also":[133,193],"used":[134],"grid-based":[136],"fast":[137],"density-based":[138],"spatial":[139],"clustering":[140],"applications":[142],"noise":[144],"(DBSCAN)":[145],"segmentation":[146,152],"overcome":[149],"distance-based":[151],"method":[153],"restrictions":[154],"radiation":[157],"(IR)":[158],"data":[160],"diminish":[162],"algorithm\u2019s":[164],"complexity":[165],"even":[166],"more":[167,204,208],"update.":[171],"Extensive":[172],"simulations":[173],"demonstrated":[174],"that":[175,195],"this":[176],"outperformed":[178],"existing":[179],"matching":[180],"filtering":[181],"algorithms":[182],"states.":[190],"Our":[191],"investigations":[192],"revealed":[194],"less":[199],"vulnerable":[200],"clutter":[202],"adaptive,":[205],"making":[206],"it":[207],"straightforward":[209],"accomplish":[211],"reliable":[212],"targets.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}