{"id":"https://openalex.org/W4390465778","doi":"https://doi.org/10.3390/app14010392","title":"Iterated Orthogonal Simplex Cubature Kalman Filter and Its Applications in Target Tracking","display_name":"Iterated Orthogonal Simplex Cubature Kalman Filter and Its Applications in Target Tracking","publication_year":2023,"publication_date":"2023-12-31","ids":{"openalex":"https://openalex.org/W4390465778","doi":"https://doi.org/10.3390/app14010392"},"language":"en","primary_location":{"id":"doi:10.3390/app14010392","doi":"https://doi.org/10.3390/app14010392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14010392","pdf_url":"https://www.mdpi.com/2076-3417/14/1/392/pdf?version=1704031584","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/14/1/392/pdf?version=1704031584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101468687","display_name":"Zhaoming Li","orcid":"https://orcid.org/0009-0008-6960-8264","observed_orcids":["https://orcid.org/0009-0008-6960-8264"]},"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":"Zhaoming Li","raw_affiliation_strings":["School of Space Information, Space Engineering University, Beijing 101416, China"],"raw_orcid":"https://orcid.org/0009-0008-6960-8264","affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University, Beijing 101416, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103088892","display_name":"Xinyan Yang","orcid":"https://orcid.org/0009-0000-2887-2087","observed_orcids":["https://orcid.org/0009-0000-2887-2087","https://orcid.org/0009-0005-6901-2776","https://orcid.org/0000-0003-3680-7191"]},"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":"Xinyan Yang","raw_affiliation_strings":["School of Space Information, Space Engineering University, Beijing 101416, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University, Beijing 101416, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440407","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-3095-9776","observed_orcids":["https://orcid.org/0000-0003-3095-9776"]},"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":"Lei Li","raw_affiliation_strings":["School of Space Information, Space Engineering University, Beijing 101416, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University, Beijing 101416, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442521","display_name":"Hang Chen","orcid":"https://orcid.org/0000-0002-4355-6629","observed_orcids":["https://orcid.org/0000-0002-4355-6629"]},"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":true,"raw_author_name":"Hang Chen","raw_affiliation_strings":["School of Space Information, Space Engineering University, Beijing 101416, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Space Information, Space Engineering University, Beijing 101416, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100442521"],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":{"value":2300,"currency":"CHF","value_usd":2558},"apc_paid":{"value":2300,"currency":"CHF","value_usd":2558},"fwci":0.2104,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45152371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"14","issue":"1","first_page":"392","last_page":"392"},"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":0.9961000084877014,"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":0.9961000084877014,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.0026000000070780516,"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/T11236","display_name":"Control Systems and Identification","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/target-tracking","display_name":"target tracking","score":0.7409999966621399},{"id":"https://openalex.org/keywords/gauss-laguerre-quadrature","display_name":"Gauss-Laguerre quadrature","score":0.9589999914169312},{"id":"https://openalex.org/keywords/nonlinear-state-estimation","display_name":"nonlinear state estimation","score":0.6639999747276306},{"id":"https://openalex.org/keywords/gauss-newton-iteration","display_name":"Gauss-Newton iteration","score":0.8799999952316284},{"id":"https://openalex.org/keywords/measurement-update","display_name":"measurement update","score":0.49900001287460327},{"id":"https://openalex.org/keywords/orthogonal-transformations","display_name":"orthogonal transformations","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.608161211013794},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5520749092102051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5178890228271484},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.5139203071594238},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.5029374957084656},{"id":"https://openalex.org/C167196314","wikidata":"https://www.wikidata.org/wiki/Q767680","display_name":"Gaussian quadrature","level":4,"score":0.455021470785141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41607123613357544},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41088762879371643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37750953435897827},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3748767375946045},{"id":"https://openalex.org/C27016315","wikidata":"https://www.wikidata.org/wiki/Q580101","display_name":"Integral equation","level":2,"score":0.1748248040676117},{"id":"https://openalex.org/C48265008","wikidata":"https://www.wikidata.org/wiki/Q7071295","display_name":"Nystr\u00f6m method","level":3,"score":0.1661696434020996},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14166873693466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12365114688873291},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12330424785614014},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0725189745426178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app14010392","doi":"https://doi.org/10.3390/app14010392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14010392","pdf_url":"https://www.mdpi.com/2076-3417/14/1/392/pdf?version=1704031584","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b39a968e1a604d1292a326010d5cf799","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/b39a968e1a604d1292a326010d5cf799","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,"listed_in":[],"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":"Applied Sciences, Vol 14, Iss 1, p 392 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app14010392","doi":"https://doi.org/10.3390/app14010392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14010392","pdf_url":"https://www.mdpi.com/2076-3417/14/1/392/pdf?version=1704031584","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6032097716","display_name":null,"funder_award_id":"Grant 62005320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7626489592","display_name":null,"funder_award_id":"62005320","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390465778.pdf","grobid_xml":"https://content.openalex.org/works/W4390465778.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901822353","https://openalex.org/W1972096280","https://openalex.org/W1976741337","https://openalex.org/W1977960051","https://openalex.org/W1982322007","https://openalex.org/W2010635244","https://openalex.org/W2016456873","https://openalex.org/W2031385481","https://openalex.org/W2033529017","https://openalex.org/W2043357888","https://openalex.org/W2050296473","https://openalex.org/W2053211321","https://openalex.org/W2054091988","https://openalex.org/W2058756796","https://openalex.org/W2063086479","https://openalex.org/W2077977019","https://openalex.org/W2079702022","https://openalex.org/W2085558428","https://openalex.org/W2101051269","https://openalex.org/W2121990344","https://openalex.org/W2130614737","https://openalex.org/W2144903371","https://openalex.org/W2150441875","https://openalex.org/W2259402327","https://openalex.org/W2327036845","https://openalex.org/W2345508459","https://openalex.org/W2419340481","https://openalex.org/W2523351019","https://openalex.org/W2523437596","https://openalex.org/W2607144077","https://openalex.org/W4285601457","https://openalex.org/W4318475679","https://openalex.org/W4353034349"],"related_works":["https://openalex.org/W4323768052","https://openalex.org/W3213323336","https://openalex.org/W2381915446","https://openalex.org/W3024485111","https://openalex.org/W2806135565","https://openalex.org/W2259402327","https://openalex.org/W2384509305","https://openalex.org/W2039599120","https://openalex.org/W2048959481","https://openalex.org/W2382105619"],"abstract_inverted_index":{"In":[0,169],"order":[1],"to":[2,118,163],"increase":[3],"a":[4,32,36],"nonlinear":[5,89],"system\u2019s":[6],"state":[7],"estimate":[8],"precision,":[9],"an":[10],"iterated":[11],"orthogonal":[12,83,200],"simplex":[13,58],"cubature":[14,59,67,76],"Kalman":[15,90],"filter":[16,91],"(IOSCKF)":[17],"is":[18,29,115,127,132],"presented":[19,255],"in":[20,55,139,256],"this":[21,257],"study":[22],"for":[23],"target":[24,140,144],"tracking.":[25],"The":[26,85,112,134],"Gaussian-weighted":[27],"integral":[28,34],"decomposed":[30],"into":[31,244],"spherical":[33,44],"and":[35,47,53,78,96,98,107,129,146,150,167,182,193,216,227],"radial":[37],"integral,":[38],"which":[39,196,230],"are":[40,72,137,189,223],"approximated":[41],"using":[42,80],"the":[43,56,63,75,81,88,93,99,104,120,124,130,151,156,164,176,178,187,199,204,210,212,221,233,245,250,253],"simplex-radial":[45],"rule":[46,77],"second-order":[48],"Gauss\u2013Laguerre":[49],"quadrature":[50],"rule,":[51],"respectively,":[52,195,229],"result":[54],"novel":[57],"rule.":[60],"To":[61],"decrease":[62],"high-order":[64],"error":[65],"terms,":[66],"points":[68,95],"with":[69,175,209],"appropriate":[70],"weights":[71,97],"taken":[73],"from":[74,102],"processed":[79],"provided":[82],"matrix.":[84],"structure":[86],"supporting":[87],"incorporates":[92],"altered":[94],"calculation":[100,243],"steps;":[101],"this,":[103],"updated":[105],"time":[106],"measurement":[108,121,246],"can":[109,158,202,236],"be":[110,237],"inferred.":[111],"Gauss\u2013Newton":[113],"iteration":[114],"employed":[116],"repeatedly":[117],"adjust":[119],"update":[122],"until":[123],"termination":[125],"condition":[126],"met":[128],"IOSCKF":[131,157,222],"attained.":[133],"proposed":[135],"algorithms":[136],"applied":[138],"tracking,":[141,149],"including":[142],"CV":[143],"tracking":[145,172,180,184,205,214,218,234],"spacecraft":[147,170],"orbit":[148,171],"simulation":[152],"results":[153],"reveal":[154],"that":[155,198,232],"achieve":[159],"higher":[160],"accuracy":[161,181,185,215,219,235],"compared":[162,174,208],"CKF,":[165],"SCKF,":[166,177],"OSCKF.":[168],"simulation,":[173],"position":[179,213],"velocity":[183,217],"of":[186,220,252],"OSCKF":[188],"increased":[190,224],"by":[191,225,240],"2.21%":[192],"1.94%,":[194],"indicates":[197,231],"transformation":[201],"improve":[203],"accuracy.":[206],"Furthermore,":[207],"OSCKF,":[211],"2.71%":[226],"2.97%,":[228],"effectively":[238],"improved":[239],"introducing":[241],"iterative":[242],"equation,":[247],"thus":[248],"verifying":[249],"effectiveness":[251],"method":[254],"paper.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-01-01T00:00:00"}