{"id":"https://openalex.org/W3037598451","doi":"https://doi.org/10.1109/access.2020.3004804","title":"Adaptive Fading Bayesian Unscented Kalman Filter and Smoother for State Estimation of Unmanned Aircraft Systems","display_name":"Adaptive Fading Bayesian Unscented Kalman Filter and Smoother for State Estimation of Unmanned Aircraft Systems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037598451","doi":"https://doi.org/10.1109/access.2020.3004804","mag":"3037598451"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3004804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3004804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09125927.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09125927.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031721367","display_name":"Zhong Liu","orcid":"https://orcid.org/0000-0001-9650-6097"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhong Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Shenzhen University, Shenzhen, China","Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9650-6097","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shing-Chow Chan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7212-4182","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":1.3038,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84756237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"119470","last_page":"119486"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9799000024795532,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7784658074378967},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7758631110191345},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6039614677429199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5824495553970337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5571063160896301},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5110820531845093},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4980463981628418},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45169588923454285},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4515411853790283},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.451151043176651},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.43736323714256287},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40482819080352783},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34345677495002747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28524014353752136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22650834918022156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18384391069412231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0669238269329071}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7784658074378967},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7758631110191345},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6039614677429199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824495553970337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5571063160896301},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5110820531845093},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4980463981628418},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45169588923454285},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4515411853790283},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.451151043176651},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.43736323714256287},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40482819080352783},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34345677495002747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28524014353752136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22650834918022156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18384391069412231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0669238269329071},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3004804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3004804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09125927.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6061159de135492c85e1f94014b73a6f","is_oa":true,"landing_page_url":"https://doaj.org/article/6061159de135492c85e1f94014b73a6f","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 8, Pp 119470-119486 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3004804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3004804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09125927.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G7552755645","display_name":null,"funder_award_id":"61901282","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037598451.pdf","grobid_xml":"https://content.openalex.org/works/W3037598451.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W622964856","https://openalex.org/W647704091","https://openalex.org/W1846384807","https://openalex.org/W1853775020","https://openalex.org/W1966757195","https://openalex.org/W1974193495","https://openalex.org/W1977825281","https://openalex.org/W1996382496","https://openalex.org/W1997870508","https://openalex.org/W2008109342","https://openalex.org/W2039272251","https://openalex.org/W2054091988","https://openalex.org/W2064480843","https://openalex.org/W2066523316","https://openalex.org/W2071631792","https://openalex.org/W2088195248","https://openalex.org/W2094227853","https://openalex.org/W2096840408","https://openalex.org/W2097266998","https://openalex.org/W2099371695","https://openalex.org/W2105934661","https://openalex.org/W2108968605","https://openalex.org/W2111329069","https://openalex.org/W2111818318","https://openalex.org/W2115445963","https://openalex.org/W2117113441","https://openalex.org/W2121990344","https://openalex.org/W2122444778","https://openalex.org/W2122512809","https://openalex.org/W2125105520","https://openalex.org/W2147996349","https://openalex.org/W2167857160","https://openalex.org/W2169089578","https://openalex.org/W2243468574","https://openalex.org/W2294839989","https://openalex.org/W2343290465","https://openalex.org/W2417426688","https://openalex.org/W2512244101","https://openalex.org/W2560034498","https://openalex.org/W2565194002","https://openalex.org/W2566804626","https://openalex.org/W2572262903","https://openalex.org/W2587771994","https://openalex.org/W2593697489","https://openalex.org/W2594545484","https://openalex.org/W2613225548","https://openalex.org/W3110683067","https://openalex.org/W3156330606","https://openalex.org/W4229793772","https://openalex.org/W4243179489","https://openalex.org/W4285719527","https://openalex.org/W4294604006","https://openalex.org/W6638996311","https://openalex.org/W6674535176","https://openalex.org/W6786768871","https://openalex.org/W7045929381"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W2360090175","https://openalex.org/W1633787648","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"adaptive":[4,80],"fading":[5,81],"Bayesian":[6,124],"unscented":[7],"Kalman":[8],"filter":[9],"(AF-BUKF)":[10],"and":[11,28,41,100,126,138,171],"explores":[12],"its":[13],"application":[14],"for":[15,43,165],"state":[16,27,99,167],"estimation":[17,132,168],"of":[18,63,94,97,122,169],"unmanned":[19],"aircraft":[20],"systems":[21],"(UASs).":[22],"In":[23],"the":[24,26,39,50,54,60,74,86,91,98,116,120,127,144,154],"AF-BUKF,":[25],"noise":[29,102],"densities":[30],"are":[31,46],"approximated":[32],"as":[33,161],"finite":[34],"Gaussian":[35,67,87],"mixtures,":[36],"in":[37],"which":[38],"mean":[40],"covariance":[42,103],"each":[44],"component":[45],"recursively":[47,84],"estimated":[48],"using":[49,119],"UKF.":[51],"To":[52],"avoid":[53],"prohibitive":[55],"computational":[56],"complexity":[57],"caused":[58],"by":[59,114],"exponential":[61],"growth":[62],"mixture":[64,68],"components,":[65,88],"a":[66,78],"simplification":[69],"algorithm":[70,76,118],"is":[71,111],"employed.":[72],"Moreover,":[73],"AF-BUKF":[75,117],"employs":[77],"novel":[79],"strategy":[82],"to":[83,130],"update":[85],"so":[89],"that":[90,143],"adverse":[92],"effect":[93],"inexact":[95],"knowledge":[96],"measurement":[101],"can":[104,148,159],"be":[105],"mitigated.":[106],"An":[107],"AF-BUK":[108],"Smoother":[109,129],"(AF-BUKS)":[110],"also":[112],"proposed":[113,145],"extending":[115],"concept":[121],"optimal":[123],"smoothing":[125],"Rauch-Tung-Striebel":[128],"improve":[131],"accuracy.":[133],"Experimental":[134],"results":[135],"on":[136],"simulated":[137],"real":[139],"UAS":[140],"data":[141],"show":[142],"AF-BUKF/S":[146],"algorithms":[147],"achieve":[149],"better":[150],"performance":[151],"compared":[152],"with":[153],"conventional":[155],"methods.":[156],"Thus,":[157],"they":[158],"serve":[160],"attractive":[162],"alternative":[163],"approaches":[164],"nonlinear":[166],"UASs":[170],"other":[172],"problems.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}