{"id":"https://openalex.org/W2212648789","doi":"https://doi.org/10.1109/eusipco.2015.7362469","title":"New results in nonlinear state estimation using extended unbiased fir filtering","display_name":"New results in nonlinear state estimation using extended unbiased fir filtering","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2212648789","doi":"https://doi.org/10.1109/eusipco.2015.7362469","mag":"2212648789"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-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/A5000142505","display_name":"Moises Granados-Cruz","orcid":null},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Moises Granados-Cruz","raw_affiliation_strings":["Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058205797","display_name":"Yuriy S. Shmaliy","orcid":"https://orcid.org/0000-0001-6848-453X"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuriy S. Shmaliy","raw_affiliation_strings":["Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033241576","display_name":"Sanowar Khan","orcid":"https://orcid.org/0000-0001-5589-6914"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sanowar H. Khan","raw_affiliation_strings":["Department of Electronics Engineering, City University London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, City University London, London, UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084993350","display_name":"Choon Ki Ahn","orcid":"https://orcid.org/0000-0003-0993-9658"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choon Ki Ahn","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seongbuk-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seongbuk-gu, Seoul, KR","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023417619","display_name":"Shunyi Zhao","orcid":"https://orcid.org/0000-0001-5363-8305"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shunyi Zhao","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07215711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"679","last_page":"683"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9865000247955322,"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":0.9855999946594238,"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/robustness","display_name":"Robustness (evolution)","score":0.7959007024765015},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6616780161857605},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6409664154052734},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.62628173828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624743700027466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5519671440124512},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5504844188690186},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4508192837238312},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.4277557134628296},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42700421810150146},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.4207000136375427},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3866420090198517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3308205008506775},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3200168311595917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18164411187171936},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.15116098523139954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1442837417125702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08514964580535889}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7959007024765015},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6616780161857605},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6409664154052734},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.62628173828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624743700027466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5519671440124512},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5504844188690186},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4508192837238312},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.4277557134628296},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42700421810150146},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3866420090198517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308205008506775},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3200168311595917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18164411187171936},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.15116098523139954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1442837417125702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08514964580535889},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:openaccess.city.ac.uk:15833","is_oa":false,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/s=2Eh=2Ekhan.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W615449195","https://openalex.org/W1948379568","https://openalex.org/W1967009834","https://openalex.org/W1979255915","https://openalex.org/W1996962441","https://openalex.org/W1998914394","https://openalex.org/W2020934227","https://openalex.org/W2093735221","https://openalex.org/W2098613108","https://openalex.org/W2102047877","https://openalex.org/W2105532434","https://openalex.org/W2105594594","https://openalex.org/W2110121279","https://openalex.org/W2113373687","https://openalex.org/W2122512809","https://openalex.org/W2128457724","https://openalex.org/W2137674749","https://openalex.org/W2139251171","https://openalex.org/W2160337655","https://openalex.org/W2187479283","https://openalex.org/W2400359022","https://openalex.org/W4247537702","https://openalex.org/W4256197952","https://openalex.org/W4285719527","https://openalex.org/W6686558076","https://openalex.org/W6712600339","https://openalex.org/W7005091581"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W1742743063","https://openalex.org/W3178140192","https://openalex.org/W2012543870","https://openalex.org/W4233326390","https://openalex.org/W2181670720","https://openalex.org/W2392478223","https://openalex.org/W2140011472","https://openalex.org/W2011571266"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"two":[3],"algorithms":[4,63,77],"of":[5,11,40],"extended":[6,27,57],"unbiased":[7],"FIR":[8],"(EFIR)":[9],"filtering":[10],"nonlinear":[12,28],"discrete-time":[13],"state-space":[14],"models":[15],"used":[16],"in":[17,82],"tracking":[18],"and":[19,30,68],"state":[20,29],"estimation.":[21],"The":[22,33],"basic":[23],"algorithm":[24,35],"employs":[25],"the":[26,37,41,56,65,86],"observation":[31,42],"equations.":[32],"modified":[34],"utilizes":[36],"nonlinear-to-linear":[38],"conversion":[39],"equation":[43],"which":[44],"is":[45],"provided":[46],"using":[47],"a":[48],"batch":[49],"EFIR":[50,62],"filter":[51,59],"having":[52],"small":[53],"memory.":[54],"Unlike":[55],"Kalman":[58],"(EKF),":[60],"both":[61],"ignore":[64],"noise":[66],"statistics":[67],"demonstrate":[69],"better":[70],"robustness":[71],"against":[72],"temporary":[73],"model":[74],"uncertainties.":[75],"These":[76],"require":[78],"an":[79],"optimal":[80],"horizon":[81],"order":[83],"to":[84],"minimize":[85],"mean":[87],"square":[88],"error.":[89],"Applications":[90],"are":[91],"given":[92],"for":[93],"robot":[94],"indoor":[95],"self-localization":[96],"utilizing":[97],"radio":[98],"frequency":[99],"identification":[100],"tags.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}