{"id":"https://openalex.org/W4381662877","doi":"https://doi.org/10.1186/s13634-023-01030-1","title":"Approximate Kalman filtering by both M-robustified dynamic stochastic approximation and statistical linearization methods","display_name":"Approximate Kalman filtering by both M-robustified dynamic stochastic approximation and statistical linearization methods","publication_year":2023,"publication_date":"2023-06-21","ids":{"openalex":"https://openalex.org/W4381662877","doi":"https://doi.org/10.1186/s13634-023-01030-1"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-023-01030-1","doi":"https://doi.org/10.1186/s13634-023-01030-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-01030-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01030-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01030-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101599189","display_name":"Milo\u0161 Pavlovi\u0107","orcid":"https://orcid.org/0000-0002-1710-7926","observed_orcids":["https://orcid.org/0000-0002-1710-7926"]},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]},{"id":"https://openalex.org/I4405257720","display_name":"Vlatacom Institute (Serbia)","ror":"https://ror.org/05kbhwa49","country_code":"RS","type":"company","lineage":["https://openalex.org/I4405257720"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milo\u0161 Pavlovi\u0107","raw_affiliation_strings":["School of Electrical Engineering, University of Belgrade, Belgrade, Serbia","Vlatacom Institute of High Technology, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]},{"raw_affiliation_string":"Vlatacom Institute of High Technology, Belgrade, Serbia","institution_ids":["https://openalex.org/I4405257720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024587221","display_name":"Zoran Banjac","orcid":"https://orcid.org/0000-0001-8195-8576","observed_orcids":["https://orcid.org/0000-0001-8195-8576"]},"institutions":[{"id":"https://openalex.org/I4405257720","display_name":"Vlatacom Institute (Serbia)","ror":"https://ror.org/05kbhwa49","country_code":"RS","type":"company","lineage":["https://openalex.org/I4405257720"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Zoran Banjac","raw_affiliation_strings":["Vlatacom Institute of High Technology, Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0001-8195-8576","affiliations":[{"raw_affiliation_string":"Vlatacom Institute of High Technology, Belgrade, Serbia","institution_ids":["https://openalex.org/I4405257720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021369488","display_name":"Branko D. Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0001-9334-9639","observed_orcids":["https://orcid.org/0000-0001-9334-9639"]},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Branko Kova\u010devi\u0107","raw_affiliation_strings":["School of Electrical Engineering, University of Belgrade, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024587221"],"corresponding_institution_ids":["https://openalex.org/I4405257720"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.7012,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.68398628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"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":0.9951000213623047,"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":0.9951000213623047,"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/T11236","display_name":"Control Systems and Identification","score":0.0019000000320374966,"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":0.0015999999595806003,"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/robust-kalman-filtering","display_name":"robust Kalman filter","score":0.890999972820282},{"id":"https://openalex.org/keywords/equivalent-linearization","display_name":"equivalent linearization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/outlier-robust-estimation","display_name":"outlier-robust estimation","score":0.6480000019073486},{"id":"https://openalex.org/keywords/short-wave-infrared-camera","display_name":"short-wave infrared camera","score":0.9459999799728394}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6591534614562988},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.6431598663330078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6168330311775208},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5818907022476196},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5542666912078857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42346036434173584},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.41418805718421936},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33808696269989014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3316742181777954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3089370131492615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23277631402015686},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.12131115794181824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-023-01030-1","doi":"https://doi.org/10.1186/s13634-023-01030-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-01030-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01030-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6e9bd476272641528901c0b085156b54","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/6e9bd476272641528901c0b085156b54","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-29 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-023-01030-1","doi":"https://doi.org/10.1186/s13634-023-01030-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-023-01030-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-023-01030-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381662877.pdf","grobid_xml":"https://content.openalex.org/works/W4381662877.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W614031343","https://openalex.org/W1531218787","https://openalex.org/W1568122762","https://openalex.org/W1965894945","https://openalex.org/W1965958871","https://openalex.org/W1966252051","https://openalex.org/W1972795425","https://openalex.org/W1986077759","https://openalex.org/W1995686867","https://openalex.org/W2004466539","https://openalex.org/W2023370615","https://openalex.org/W2044536061","https://openalex.org/W2070396733","https://openalex.org/W2086693977","https://openalex.org/W2109243439","https://openalex.org/W2109455849","https://openalex.org/W2110632801","https://openalex.org/W2111602959","https://openalex.org/W2123390717","https://openalex.org/W2132937713","https://openalex.org/W2137879236","https://openalex.org/W2154889144","https://openalex.org/W2155596484","https://openalex.org/W2166787100","https://openalex.org/W2315788107","https://openalex.org/W2465493330","https://openalex.org/W2622296713","https://openalex.org/W2795431618","https://openalex.org/W2885335828","https://openalex.org/W2911894825","https://openalex.org/W2914905871","https://openalex.org/W2937441537","https://openalex.org/W2999749273","https://openalex.org/W3126158429","https://openalex.org/W4205806204","https://openalex.org/W4206670532","https://openalex.org/W4211191787","https://openalex.org/W4213078046","https://openalex.org/W4224244942","https://openalex.org/W4242433770","https://openalex.org/W4256404827","https://openalex.org/W4300528607","https://openalex.org/W4300713481","https://openalex.org/W4300940930","https://openalex.org/W4304481542"],"related_works":["https://openalex.org/W4224244942","https://openalex.org/W2914905871","https://openalex.org/W4393993670","https://openalex.org/W7129082930","https://openalex.org/W2004466539","https://openalex.org/W2261509600","https://openalex.org/W7066693049","https://openalex.org/W7100614082","https://openalex.org/W4403674866","https://openalex.org/W2033711505"],"abstract_inverted_index":{"Abstract":[0],"The":[1,59,145],"problem":[2],"of":[3,29,54,62,76,85,122,147],"designing":[4],"a":[5,27,42,52,63,107,157],"robustified":[6],"Kalman":[7,112],"filtering":[8,113],"technique,":[9],"insensitive":[10],"to":[11,56,168],"spiky":[12],"observations,":[13],"or":[14],"outliers,":[15],"contaminating":[16],"the":[17,24,77,83,86,92,97,102,123,132,139,142,148,154,164],"Gaussian":[18],"observations":[19],"has":[20,115,150],"been":[21,116,151],"presented":[22],"in":[23,101],"paper.":[25],"Firstly,":[26],"class":[28],"M-robustified":[30,111,125],"dynamic":[31],"stochastic":[32],"approximation":[33],"algorithms":[34,55],"is":[35,66],"derived":[36,129],"by":[37,71,130,153],"minimizing":[38,72],"at":[39,68],"each":[40,69],"stage":[41,70],"specific":[43],"time-varying":[44,143],"M-robust":[45,94],"performance":[46],"index,":[47],"that":[48],"is,":[49],"general":[50],"for":[51],"family":[53],"be":[57],"considered.":[58],"gain":[60],"matrix":[61],"particular":[64],"algorithm":[65],"calculated":[67],"an":[73,169],"additional":[74],"criterion":[75],"approximate":[78],"minimum":[79,103],"variance":[80],"type,":[81],"with":[82,96,138],"aid":[84],"statistical":[87,135],"linearization":[88,136],"method.":[89],"By":[90],"combining":[91],"proposed":[93,124],"estimator":[95,127],"one-stage":[98],"optimal":[99,134],"prediction,":[100],"mean-square":[104,133],"error":[105],"sense,":[106],"new":[108],"statistically":[109],"linearized":[110],"technique":[114],"derived.":[117],"Two":[118],"simple":[119],"practical":[120],"versions":[121],"state":[126],"are":[128],"approximating":[131],"coefficient":[137],"fixed":[140],"and":[141,163],"factors.":[144],"feasibility":[146],"approaches":[149],"analysed":[152],"simulations,":[155],"using":[156,173],"manoeuvring":[158],"target":[159],"radar":[160],"tracking":[161,172],"example,":[162],"real":[165],"data,":[166],"related":[167],"object":[170],"video":[171],"short-wave":[174],"infrared":[175],"camera.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-06-23T00:00:00"}