{"id":"https://openalex.org/W2018058017","doi":"https://doi.org/10.1134/s207510871203008x","title":"Comparative analysis of reduced Kalman filters with guaranteed estimation quality","display_name":"Comparative analysis of reduced Kalman filters with guaranteed estimation quality","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2018058017","doi":"https://doi.org/10.1134/s207510871203008x","mag":"2018058017"},"language":"en","primary_location":{"id":"doi:10.1134/s207510871203008x","doi":"https://doi.org/10.1134/s207510871203008x","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s207510871203008x","pdf_url":null,"source":{"id":"https://openalex.org/S182728895","display_name":"Gyroscopy and Navigation","issn_l":"2075-1087","issn":["2075-1087","2075-1109"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gyroscopy and Navigation","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5112517132","display_name":"V. A. Tupysev","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210144352","display_name":"State Research Center of the Russian Federation","ror":"https://ror.org/04qpssw85","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210144352"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"V. A. Tupysev","raw_affiliation_strings":["Concern CSRI Elektropribor, JSC, 30, Malaya Posadskaya ul., St. Petersburg, 197046, Russia","JSC >"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concern CSRI Elektropribor, JSC, 30, Malaya Posadskaya ul., St. Petersburg, 197046, Russia","institution_ids":["https://openalex.org/I4210144352"]},{"raw_affiliation_string":"JSC >","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016928278","display_name":"Yu. A. Litvinenko","orcid":"https://orcid.org/0000-0001-5438-2911","observed_orcids":["https://orcid.org/0000-0001-5438-2911"]},"institutions":[{"id":"https://openalex.org/I4210144352","display_name":"State Research Center of the Russian Federation","ror":"https://ror.org/04qpssw85","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210144352"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yu. A. Litvinenko","raw_affiliation_strings":["Concern CSRI Elektropribor, JSC, 30, Malaya Posadskaya ul., St. Petersburg, 197046, Russia","JSC >"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concern CSRI Elektropribor, JSC, 30, Malaya Posadskaya ul., St. Petersburg, 197046, Russia","institution_ids":["https://openalex.org/I4210144352"]},{"raw_affiliation_string":"JSC >","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112517132"],"corresponding_institution_ids":["https://openalex.org/I4210144352"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"3","issue":"3","first_page":"153","last_page":"158"},"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":0.5630000233650208,"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":0.5630000233650208,"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":0.4242999851703644,"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":0.004600000102072954,"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/filtering-accuracy","display_name":"filtering accuracy","score":0.7059999704360962}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8312292098999023},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6476587057113647},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5595760941505432},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5362057089805603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5329970121383667},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5123509168624878},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5062679052352905},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49919605255126953},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4763067960739136},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4442843198776245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3744298815727234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3431603014469147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17737862467765808},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17630508542060852},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1134/s207510871203008x","doi":"https://doi.org/10.1134/s207510871203008x","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s207510871203008x","pdf_url":null,"source":{"id":"https://openalex.org/S182728895","display_name":"Gyroscopy and Navigation","issn_l":"2075-1087","issn":["2075-1087","2075-1109"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gyroscopy and Navigation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1965816868","https://openalex.org/W1987284904","https://openalex.org/W1989459388","https://openalex.org/W2012362970","https://openalex.org/W2041219140","https://openalex.org/W2071558009","https://openalex.org/W2110021831","https://openalex.org/W2121679811","https://openalex.org/W2218913569"],"related_works":["https://openalex.org/W1989459388","https://openalex.org/W394283289","https://openalex.org/W3012197854","https://openalex.org/W574339422","https://openalex.org/W2803346807","https://openalex.org/W2160818391","https://openalex.org/W1834678338","https://openalex.org/W2983399190","https://openalex.org/W2105086909","https://openalex.org/W2475331418"],"abstract_inverted_index":{"The":[0],"paper":[1],"gives":[2],"a":[3,33],"comparison":[4],"of":[5,10,32,85],"two":[6,67],"methods":[7],"for":[8,41],"synthesis":[9],"reduced":[11],"Kalman":[12],"filters":[13],"with":[14],"guaranteed":[15,50],"estimation":[16,51],"quality.":[17],"Their":[18],"distinguishing":[19],"feature":[20],"is":[21,37,52],"the":[22,25,29,42,47,56,63,69,77,82],"fact":[23],"that":[24],"matrix":[26],"calculated":[27],"in":[28,58,62,71,76,87],"covariance":[30,44],"channel":[31],"synthesized":[34],"suboptimal":[35],"filter":[36],"an":[38],"upper":[39],"bound":[40],"real":[43],"matrix.":[45],"In":[46],"first":[48],"method,":[49],"provided":[53],"due":[54,65],"to":[55,66],"increase":[57,70],"disturbing":[59,72],"noises,":[60],"and":[61,74],"second,":[64],"factors:":[68],"noises":[73],"changes":[75],"dynamics":[78],"matrix,":[79],"which":[80],"improves":[81],"actual":[83],"accuracy":[84],"filtering":[86],"some":[88],"cases.":[89]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2016-06-24T00:00:00"}