{"id":"https://openalex.org/W4394949093","doi":"https://doi.org/10.34768/amcs-2022-0018","title":"A Kalman filter with intermittent observations and reconstruction of data losses","display_name":"A Kalman filter with intermittent observations and reconstruction of data losses","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4394949093","doi":"https://doi.org/10.34768/amcs-2022-0018"},"language":"en","primary_location":{"id":"doi:10.34768/amcs-2022-0018","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2022-0018","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2022-0018","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciendo.com/pdf/10.34768/amcs-2022-0018","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012357936","display_name":"Taouba Rhouma","orcid":"https://orcid.org/0000-0002-3763-212X"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Taouba Rhouma","raw_affiliation_strings":["Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095777889","display_name":"Jean-Yves Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Yves Keller","raw_affiliation_strings":["Henri Poincar\u00e9 University Institute of Technology of Longwy, University of Lorraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henri Poincar\u00e9 University Institute of Technology of Longwy, University of Lorraine","institution_ids":["https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107846236","display_name":"Mohamed Naceur Abdelkrim","orcid":null},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Naceur Abdelkrim","raw_affiliation_strings":["Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Modeling, Analysis and Control, National Engineering School of Gabes, University of Gabes","institution_ids":["https://openalex.org/I68916915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012357936"],"corresponding_institution_ids":["https://openalex.org/I68916915"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":1.0497,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81159479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"32","issue":"2","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":0.9757999777793884,"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":0.9757999777793884,"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":0.911300003528595,"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/kalman-filter","display_name":"Kalman filter","score":0.8370077013969421},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.5355420708656311},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5184104442596436},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5096125602722168},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4771399199962616},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.4309481978416443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4300971031188965},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36688166856765747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2804943323135376}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8370077013969421},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.5355420708656311},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5184104442596436},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5096125602722168},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4771399199962616},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.4309481978416443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4300971031188965},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36688166856765747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2804943323135376}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.34768/amcs-2022-0018","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2022-0018","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2022-0018","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4db4908ac29e4f778588d0b6802487e2","is_oa":true,"landing_page_url":"https://doaj.org/article/4db4908ac29e4f778588d0b6802487e2","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,"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":"International Journal of Applied Mathematics and Computer Science, Vol 32, Iss 2, Pp 241-253 (2022)","raw_type":"article"},{"id":"pmh:oai:zbc.uz.zgora.pl:86407","is_oa":false,"landing_page_url":"https://zbc.uz.zgora.pl/dlibra/docmetadata?showContent=true&id=86407","pdf_url":null,"source":{"id":"https://openalex.org/S4306400400","display_name":"Digital library of Zielona Gora (University of Zielona G\u00f3ra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I46305939","host_organization_name":"University of Zielona G\u00f3ra","host_organization_lineage":["https://openalex.org/I46305939"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.amcs.uz.zgora.pl/?action=papers&issue=124","raw_type":"artyku\u0142"}],"best_oa_location":{"id":"doi:10.34768/amcs-2022-0018","is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2022-0018","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2022-0018","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4394949093.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1986720249","https://openalex.org/W1997870508","https://openalex.org/W2009257627","https://openalex.org/W2013568744","https://openalex.org/W2016026577","https://openalex.org/W2019466942","https://openalex.org/W2022406843","https://openalex.org/W2064939225","https://openalex.org/W2065363913","https://openalex.org/W2068305682","https://openalex.org/W2105934661","https://openalex.org/W2122296573","https://openalex.org/W2152898444","https://openalex.org/W2162357261","https://openalex.org/W2230317998","https://openalex.org/W2469892208","https://openalex.org/W2539264244","https://openalex.org/W2564942684","https://openalex.org/W2610950856","https://openalex.org/W2619461977","https://openalex.org/W2791143635","https://openalex.org/W2895770682","https://openalex.org/W2910228158","https://openalex.org/W2933496168","https://openalex.org/W2997748273","https://openalex.org/W3001177810","https://openalex.org/W3181350803","https://openalex.org/W3186457391"],"related_works":["https://openalex.org/W3190919334","https://openalex.org/W4206024512","https://openalex.org/W2336351623","https://openalex.org/W2772311278","https://openalex.org/W2263628162","https://openalex.org/W2053335193","https://openalex.org/W4324121876","https://openalex.org/W2359845109","https://openalex.org/W2377206439","https://openalex.org/W2150837402"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,142],"the":[4,45,48,51,58,61,74,78,90,94,104,107,120,134,146],"problem":[5],"of":[6,47,50,93,111,155],"joint":[7],"state":[8,32,52,62,96],"and":[9,34],"unknown":[10,21,36,69,112,122],"input":[11,37],"estimation":[12,53],"for":[13,31],"stochastic":[14,86],"discrete-time":[15],"linear":[16],"systems":[17],"subject":[18],"to":[19,138,148],"intermittent":[20,35,121,127,143],"inputs":[22,70,113,123],"on":[23,44,89,124],"measurements.":[24],"A":[25],"Kalman":[26,140],"filter":[27,40,136,141],"approach":[28],"is":[29,42,65,80,101],"proposed":[30,135],"prediction":[33,63,97,154],"reconstruction.":[38],"The":[39],"design":[41],"based":[43],"minimization":[46],"trace":[49],"error":[54,64],"covariance":[55,99],"matrix":[56,100],"under":[57],"constraint":[59],"that":[60,133],"decoupled":[66],"from":[67],"active":[68],"corrupting":[71],"measurements":[72,125],"at":[73],"current":[75],"time.":[76],"When":[77,119],"system":[79],"not":[81],"strongly":[82],"detectable,":[83],"a":[84,139,150],"sufficient":[85],"stability":[87],"condition":[88],"mathematical":[91],"expectation":[92],"random":[95,116],"errors":[98],"established":[102],"in":[103],"case":[105],"where":[106],"arrival":[108],"binary":[109],"sequences":[110],"follow":[114],"independent":[115],"Bernoulli":[117],"processes.":[118],"represent":[126],"observations,":[128],"an":[129],"illustrative":[130],"example":[131],"shows":[132],"corresponds":[137],"observations":[144],"having":[145],"ability":[147],"generate":[149],"minimum":[151],"variance":[152],"unbiased":[153],"measurement":[156],"losses.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}