{"id":"https://openalex.org/W1523518200","doi":"https://doi.org/10.1109/acc.2015.7171818","title":"Adaptive radial rule based cubature Kalman filter","display_name":"Adaptive radial rule based cubature Kalman filter","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1523518200","doi":"https://doi.org/10.1109/acc.2015.7171818","mag":"1523518200"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2015.7171818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7171818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","raw_type":"proceedings-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":"https://openalex.org/A5101701795","display_name":"Bin Jia","orcid":"https://orcid.org/0000-0001-5071-2573"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Jia","raw_affiliation_strings":["Intelligent Fusion Technology, Inc. Germantown, MD 20876, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, Inc. Germantown, MD 20876, USA","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083549815","display_name":"Ming Xin","orcid":"https://orcid.org/0000-0002-9947-6986"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Xin","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101701795"],"corresponding_institution_ids":["https://openalex.org/I4210131102"],"apc_list":null,"apc_paid":null,"fwci":2.1572,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89629241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3156","last_page":"3161"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9472000002861023,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9426000118255615,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/kalman-filter","display_name":"Kalman filter","score":0.7707201838493347},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7484645247459412},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6192057132720947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5244712829589844},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5140060186386108},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5103783011436462},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.4851706624031067},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.48390111327171326},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.47195592522621155},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.44821351766586304},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.41405317187309265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39751511812210083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3899936079978943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1673128604888916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10762462019920349},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05412989854812622}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7707201838493347},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7484645247459412},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6192057132720947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5244712829589844},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5140060186386108},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5103783011436462},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.4851706624031067},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.48390111327171326},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.47195592522621155},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.44821351766586304},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.41405317187309265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39751511812210083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3899936079978943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1673128604888916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10762462019920349},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05412989854812622},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2015.7171818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2015.7171818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W1982322007","https://openalex.org/W1983180205","https://openalex.org/W1995597265","https://openalex.org/W2006735798","https://openalex.org/W2051775893","https://openalex.org/W2054091988","https://openalex.org/W2076186907","https://openalex.org/W2077977019","https://openalex.org/W2099371695","https://openalex.org/W2123487311","https://openalex.org/W2146332636"],"related_works":["https://openalex.org/W2182059946","https://openalex.org/W1580685205","https://openalex.org/W2320496747","https://openalex.org/W1488420340","https://openalex.org/W2525014937","https://openalex.org/W2164174227","https://openalex.org/W4206024512","https://openalex.org/W2119007379","https://openalex.org/W2130896823","https://openalex.org/W2103062922"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,25],"new":[4,26],"adaptive":[5],"cubature":[6,19,27,63],"Kalman":[7,20,64],"filter":[8,65],"(ACKF)":[9],"is":[10,87],"proposed":[11,96],"to":[12,89],"improve":[13],"the":[14,17,31,36,42,60,69,91,95],"performance":[15,93],"of":[16,44,94],"conventional":[18,61],"filter.":[21,97],"The":[22],"ACKF":[23,72],"uses":[24,73],"rule":[28,34,40],"that":[29],"combines":[30],"third-degree":[32,62],"spherical":[33],"with":[35,55,68],"higher":[37],"degree":[38],"radial":[39],"along":[41],"directions":[43],"larger":[45],"uncertainty.":[46],"More":[47],"accurate":[48],"and":[49],"robust":[50],"results":[51],"can":[52],"be":[53],"achieved":[54],"slightly":[56],"more":[57],"points":[58,76],"than":[59],"(CKF).":[66],"Compared":[67],"fifth-degree":[70],"CKF,":[71],"much":[74],"fewer":[75],"but":[77],"maintains":[78],"very":[79],"close":[80],"performance.":[81],"A":[82],"target":[83],"tracking":[84],"benchmark":[85],"problem":[86],"used":[88],"demonstrate":[90],"enhanced":[92]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
