{"id":"https://openalex.org/W2064901708","doi":"https://doi.org/10.1109/icca.2010.5524102","title":"Self-tuning centralized fusion Kalman filter for multisensor systems with companion form and its convergence","display_name":"Self-tuning centralized fusion Kalman filter for multisensor systems with companion form and its convergence","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2064901708","doi":"https://doi.org/10.1109/icca.2010.5524102","mag":"2064901708"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2010.5524102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2010.5524102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ICCA 2010","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045111873","display_name":"Chenjian Ran","orcid":"https://orcid.org/0000-0002-5219-3460"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjian Ran","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China","Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]},{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729049","display_name":"Lei Gu","orcid":"https://orcid.org/0000-0001-9556-6426"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Gu","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China","Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]},{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053039829","display_name":"Zili Deng","orcid":"https://orcid.org/0000-0002-3432-3583"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Deng","raw_affiliation_strings":["Department of Automation, Heilongjiang University, Harbin, China","Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]},{"raw_affiliation_string":"Department of Automation, Heilongjiang University, Harbin, 150080, China#TAB#","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.8174,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71742458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"645","last_page":"650"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9919000267982483,"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/kalman-filter","display_name":"Kalman filter","score":0.8437269330024719},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.771723210811615},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6370508670806885},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6255091428756714},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5633831024169922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5505629777908325},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5463190674781799},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5190175771713257},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48935073614120483},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4415552020072937},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.4372550845146179},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4328618049621582},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39140164852142334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36931687593460083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3657847046852112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18457725644111633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16316527128219604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06637638807296753}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8437269330024719},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.771723210811615},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6370508670806885},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6255091428756714},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5633831024169922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5505629777908325},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5463190674781799},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5190175771713257},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48935073614120483},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4415552020072937},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4372550845146179},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4328618049621582},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39140164852142334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36931687593460083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3657847046852112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18457725644111633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16316527128219604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06637638807296753},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2010.5524102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2010.5524102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ICCA 2010","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":9,"referenced_works":["https://openalex.org/W633114123","https://openalex.org/W1524761854","https://openalex.org/W1965324089","https://openalex.org/W2017341800","https://openalex.org/W2020968226","https://openalex.org/W2052258321","https://openalex.org/W2164546042","https://openalex.org/W4230675943","https://openalex.org/W4240691156"],"related_works":["https://openalex.org/W2182059946","https://openalex.org/W2483158495","https://openalex.org/W1506303183","https://openalex.org/W2870890761","https://openalex.org/W4206024512","https://openalex.org/W2772311278","https://openalex.org/W2374673609","https://openalex.org/W2146775457","https://openalex.org/W2030134288","https://openalex.org/W116564642"],"abstract_inverted_index":{"For":[0],"the":[1,19,30,35,70,74,85,92,101,113,121],"multisensor":[2],"systems":[3],"with":[4,127],"companion":[5],"form":[6],"and":[7,11,21],"unknown":[8],"model":[9,23,32],"parameters":[10],"noise":[12,38],"variances,":[13],"using":[14,44],"recursive":[15],"instrumental":[16],"variable(RIV)":[17],"algorithm,":[18],"local":[20],"fused":[22,31],"parameter":[24,33],"estimators":[25,40],"are":[26,41],"obtained.":[27],"Based":[28,97],"on":[29,59,98],"estimators,":[34],"information":[36,62,87,94],"fusion":[37,55,116,124],"variance":[39,76],"presented":[42],"by":[43,100],"correlation":[45],"method.":[46],"They":[47],"have":[48],"strong":[49],"consistence.":[50],"Further,":[51],"a":[52,60],"self-tuning":[53,61,86,114],"centralized":[54,115,123],"Kalman":[56,117,125],"filter":[57,118,126],"based":[58],"matrix":[63,88,95],"equation":[64,89],"is":[65,82,109],"presented,":[66],"which":[67],"can":[68],"reduce":[69],"computational":[71],"burden.":[72],"By":[73],"dynamic":[75,102],"error":[77,103],"system":[78,104],"analysis(DVSEA)":[79],"method,":[80,107],"it":[81,108,132],"proved":[83,111],"that":[84,112,131],"convergence":[90],"to":[91,120],"optimal":[93,122],"equation.":[96],"this,":[99],"analysis":[105],"(DESA)":[106],"rigorously":[110],"converges":[119],"probability":[128],"one,":[129],"so":[130],"has":[133],"asymptotic":[134],"global":[135],"optimality.":[136],"A":[137],"simulation":[138],"example":[139],"shows":[140],"its":[141],"effectiveness.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}