{"id":"https://openalex.org/W3048687552","doi":"https://doi.org/10.1109/lsp.2020.3015422","title":"Robust Gaussian Approximate Fixed-Interval Smoother With Outlier Detection","display_name":"Robust Gaussian Approximate Fixed-Interval Smoother With Outlier Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3048687552","doi":"https://doi.org/10.1109/lsp.2020.3015422","mag":"3048687552"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3015422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3015422","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/A5100384014","display_name":"Yuming Chen","orcid":"https://orcid.org/0000-0002-7185-6581"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuming Chen","raw_affiliation_strings":["Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739392","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-4308-4385"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103156487","display_name":"Yuqiao Wang","orcid":"https://orcid.org/0000-0002-7645-8945"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiao Wang","raw_affiliation_strings":["Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100384014"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.6796,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76844111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1505","last_page":"1509"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9965000152587891,"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/T11236","display_name":"Control Systems and Identification","score":0.991100013256073,"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/outlier","display_name":"Outlier","score":0.5984022617340088},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5735051035881042},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.572414219379425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630593299865723},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4947054088115692},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.47892341017723083},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43777725100517273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4127698540687561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4110349118709564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38880613446235657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35553276538848877},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0985792875289917}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5984022617340088},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5735051035881042},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.572414219379425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630593299865723},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4947054088115692},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.47892341017723083},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43777725100517273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4127698540687561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4110349118709564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38880613446235657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35553276538848877},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0985792875289917},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.3015422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3015422","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":[],"funders":[{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W13379019","https://openalex.org/W1925569585","https://openalex.org/W1964849905","https://openalex.org/W2012526720","https://openalex.org/W2037799844","https://openalex.org/W2050114157","https://openalex.org/W2054091988","https://openalex.org/W2082452901","https://openalex.org/W2094385794","https://openalex.org/W2109375023","https://openalex.org/W2151797657","https://openalex.org/W2294322297","https://openalex.org/W2346275622","https://openalex.org/W2516272379","https://openalex.org/W2575097171","https://openalex.org/W2737188128","https://openalex.org/W2749496335","https://openalex.org/W2775403132","https://openalex.org/W2792095281","https://openalex.org/W2810968776","https://openalex.org/W2891852879","https://openalex.org/W2896923686","https://openalex.org/W2921502645","https://openalex.org/W2921870702","https://openalex.org/W2940853611","https://openalex.org/W2941114614","https://openalex.org/W2966264018","https://openalex.org/W2972222132","https://openalex.org/W2992140709","https://openalex.org/W3004699263","https://openalex.org/W6726112481"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"We":[0],"consider":[1],"that":[2],"existing":[3],"nonlinear":[4],"state":[5,102],"estimators":[6],"cannot":[7],"always":[8],"yield":[9],"a":[10,48,54,110,136],"satisfactory":[11],"performance":[12],"when":[13],"the":[14,17,22,29,36,60,69,82,86,92,101,122,127,131],"distribution":[15,56,78],"of":[16,85,112,126],"measurement":[18,37,61],"noise":[19,72,88,106],"deviates":[20],"from":[21],"assumed":[23],"Gaussian":[24],"distribution.":[25],"This":[26],"letter":[27],"investigates":[28],"non-linear":[30],"robust":[31],"fixed-interval":[32],"smoothing":[33],"problem":[34],"where":[35],"vectors":[38],"are":[39],"partially":[40],"disturbed":[41],"by":[42],"outliers.":[43],"The":[44],"proposed":[45,132],"smoother":[46,133],"employs":[47],"binary":[49,113],"indicator":[50,114],"variable":[51],"modelled":[52],"with":[53],"beta-Bernoulli":[55],"to":[57,67,99],"determine":[58],"whether":[59],"vector":[62],"is":[63],"an":[64,75],"outlier.":[65],"Moreover,":[66],"address":[68],"inaccurate":[70,104],"process":[71,87,105],"covariance":[73,89,107],"matrix,":[74,108],"inverse":[76],"Wishart":[77],"was":[79,97],"chosen":[80],"as":[81],"conjugate":[83],"prior":[84],"matrix.":[90],"Then,":[91],"variational":[93],"Bayesian":[94],"inference":[95],"method":[96],"applied":[98],"estimate":[100],"trajectory,":[103],"and":[109,124,130,142],"set":[111],"variables.":[115],"Traditional":[116],"target":[117],"tracking":[118],"simulation":[119],"results":[120],"indicate":[121],"effectiveness":[123],"stability":[125],"derived":[128],"smoother,":[129],"has":[134],"demonstrated":[135],"marked":[137],"improvement":[138],"in":[139],"estimation":[140],"accuracy":[141],"robustness.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
