{"id":"https://openalex.org/W2986773206","doi":"https://doi.org/10.1109/lsp.2019.2951464","title":"A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss","display_name":"A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss","publication_year":2019,"publication_date":"2019-11-04","ids":{"openalex":"https://openalex.org/W2986773206","doi":"https://doi.org/10.1109/lsp.2019.2951464","mag":"2986773206"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2951464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2951464","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5005015890","display_name":"Guangle Jia","orcid":"https://orcid.org/0000-0002-5832-4847"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangle Jia","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5832-4847","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091074416","display_name":"Yulong Huang","orcid":"https://orcid.org/0000-0001-9303-9083"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Huang","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-9303-9083","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383751","display_name":"Yonggang Zhang","orcid":"https://orcid.org/0000-0003-4548-1111"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Zhang","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4548-1111","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083892296","display_name":"Jonathon A. Chambers","orcid":"https://orcid.org/0000-0002-5820-6509"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jonathon Chambers","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, China","School of Engineering University of Leicester, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5820-6509","affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"School of Engineering University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4706,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.94228722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"12","first_page":"1862","last_page":"1866"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9801999926567078,"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/kalman-filter","display_name":"Kalman filter","score":0.7601860761642456},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.7157521843910217},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.658089280128479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480355620384216},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5251215100288391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5079060196876526},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.46749651432037354},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.45721957087516785},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.4443172812461853},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4426336884498596},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4365643262863159},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.42959272861480713},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.42195209860801697},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.42168834805488586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39957594871520996},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.29696041345596313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24084556102752686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2027425467967987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10616147518157959},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07080113887786865}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7601860761642456},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.7157521843910217},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.658089280128479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480355620384216},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5251215100288391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5079060196876526},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.46749651432037354},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.45721957087516785},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.4443172812461853},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4426336884498596},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4365643262863159},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.42959272861480713},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.42195209860801697},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.42168834805488586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39957594871520996},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.29696041345596313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24084556102752686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2027425467967987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10616147518157959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07080113887786865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2951464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2951464","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3980354054","display_name":null,"funder_award_id":"61773133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G568239270","display_name":null,"funder_award_id":"61903097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8069922992","display_name":null,"funder_award_id":"3072019CFT0401","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8947654713","display_name":null,"funder_award_id":"3072019CFJ0411","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1979728354","https://openalex.org/W2000721204","https://openalex.org/W2002947147","https://openalex.org/W2009086942","https://openalex.org/W2050114157","https://openalex.org/W2075077539","https://openalex.org/W2078657051","https://openalex.org/W2080231200","https://openalex.org/W2088735810","https://openalex.org/W2095376999","https://openalex.org/W2124471068","https://openalex.org/W2142758015","https://openalex.org/W2164522996","https://openalex.org/W2294322297","https://openalex.org/W2477964083","https://openalex.org/W2575097171","https://openalex.org/W2737188128","https://openalex.org/W2759183072","https://openalex.org/W2775403132","https://openalex.org/W2920849804","https://openalex.org/W2943989682","https://openalex.org/W2944846513","https://openalex.org/W2964168648"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W1982788967","https://openalex.org/W4324123865","https://openalex.org/W2786287312","https://openalex.org/W4237517023","https://openalex.org/W2933707278","https://openalex.org/W3198935159"],"abstract_inverted_index":{"A":[0],"novel":[1],"variational":[2],"Bayesian":[3],"(VB)-based":[4],"adaptive":[5],"Kalman":[6],"filter":[7],"(AKF)":[8],"is":[9,32],"proposed":[10,68],"to":[11],"solve":[12],"the":[13,40,43,48,58,64,67,73],"filtering":[14,75],"problem":[15],"of":[16,23,28,50,66,80],"a":[17],"linear":[18],"system":[19],"with":[20,72,77],"unknown":[21,78],"probability":[22,49,79],"measurement":[24,51,81],"loss.":[25,82],"The":[26],"sum":[27],"two":[29],"likelihood":[30],"functions":[31],"transformed":[33],"into":[34],"an":[35],"exponential":[36],"multiplication":[37],"form,":[38],"and":[39,47],"state":[41],"vector,":[42],"Bernoulli":[44],"random":[45],"variable":[46],"loss":[52],"are":[53],"jointly":[54],"inferred":[55],"based":[56],"on":[57],"VB":[59],"approach.":[60],"Simulation":[61],"results":[62],"demonstrate":[63],"superiority":[65],"AKF":[69],"as":[70],"compared":[71],"existing":[74],"algorithms":[76]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}