{"id":"https://openalex.org/W2324603851","doi":"https://doi.org/10.1109/mfi.2014.6997735","title":"Analysis on adaptive filtering for nonlinear dynamic estimation systems","display_name":"Analysis on adaptive filtering for nonlinear dynamic estimation systems","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2324603851","doi":"https://doi.org/10.1109/mfi.2014.6997735","mag":"2324603851"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2014.6997735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2014.6997735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI)","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/A5100410427","display_name":"Jianjun Wang","orcid":"https://orcid.org/0000-0002-5424-1497"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianjun Wang","raw_affiliation_strings":["Institute of Measurement Chinese Flight Test Establishment, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Measurement Chinese Flight Test Establishment, Xi'an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100410427"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"6"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9799000024795532,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9592999815940857,"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/computer-science","display_name":"Computer science","score":0.7551629543304443},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7140541076660156},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6882528066635132},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5608279705047607},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5542289614677429},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4751182198524475},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.4616929292678833},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.46012091636657715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3610769510269165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3476318418979645},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.15683215856552124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08656486868858337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551629543304443},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7140541076660156},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6882528066635132},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5608279705047607},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5542289614677429},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4751182198524475},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.4616929292678833},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.46012091636657715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3610769510269165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3476318418979645},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.15683215856552124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08656486868858337},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2014.6997735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2014.6997735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI)","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":10,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W2016750884","https://openalex.org/W2016996666","https://openalex.org/W2018557858","https://openalex.org/W2020934227","https://openalex.org/W2121990344","https://openalex.org/W2140928899","https://openalex.org/W2156765090","https://openalex.org/W6654774251","https://openalex.org/W6655473528"],"related_works":["https://openalex.org/W2201050717","https://openalex.org/W4319917433","https://openalex.org/W2901858402","https://openalex.org/W2977296457","https://openalex.org/W2101121116","https://openalex.org/W2381334782","https://openalex.org/W2336526268","https://openalex.org/W1595241965","https://openalex.org/W2354812741","https://openalex.org/W1986557098"],"abstract_inverted_index":{"It":[0],"is":[1],"very":[2],"difficult":[3],"to":[4,24,46,85,146],"get":[5],"absolutely":[6],"accurate":[7],"estimation":[8,28,105],"models":[9,31],"for":[10,99],"practical":[11],"filtering":[12,19,49,79,121,151],"and":[13,32,73,130,135,153,160],"target":[14],"tracking":[15],"systems.":[16,61],"Accordingly,":[17],"adaptive":[18,35,41,78,91,120,150],"technology":[20],"has":[21],"been":[22,38],"presented":[23],"deal":[25],"with":[26,29,107],"state":[27,104],"inaccurate":[30,110],"some":[33],"typical":[34],"methods":[36,42,122],"have":[37,43,56],"established.":[39],"These":[40],"also":[44],"used":[45],"design":[47],"various":[48],"or":[50,109],"fusion":[51],"algorithms":[52],"most":[53],"of":[54,68,76,89,102,112,119],"which":[55,81],"applied":[57],"in":[58,138,158],"many":[59],"engineering":[60,161],"Unfortunately,":[62],"the":[63,71,90,95,149],"current":[64],"studies":[65],"are":[66,82],"short":[67],"deeply":[69,131],"analyzing":[70],"principles":[72,134],"computing":[74,136],"complexity":[75,137],"these":[77],"methods,":[80],"exceedingly":[83],"important":[84],"improve":[86],"application":[87],"levels":[88],"algorithms.":[92],"Aiming":[93],"at":[94],"problem":[96],"mentioned":[97],"above,":[98],"a":[100],"kind":[101],"nonlinear":[103],"system":[106],"unknown":[108],"covariances":[111],"additive":[113],"noises,":[114],"we":[115],"introduce":[116],"three":[117],"kinds":[118],"based":[123],"on":[124],"unscented":[125],"Kalman":[126],"information":[127],"filter":[128],"(UKF)":[129],"discuss":[132],"their":[133],"this":[139],"paper.":[140],"The":[141],"study":[142],"can":[143],"help":[144],"researchers":[145],"thoroughly":[147],"understand":[148],"theory":[152,159],"better":[154],"develop":[155],"further":[156],"research":[157],"applications.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}