{"id":"https://openalex.org/W2102047877","doi":"https://doi.org/10.1109/tsp.2011.2129516","title":"An Iterative Kalman-Like Algorithm Ignoring Noise and Initial Conditions","display_name":"An Iterative Kalman-Like Algorithm Ignoring Noise and Initial Conditions","publication_year":2011,"publication_date":"2011-03-17","ids":{"openalex":"https://openalex.org/W2102047877","doi":"https://doi.org/10.1109/tsp.2011.2129516","mag":"2102047877"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2129516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2129516","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/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":true,"raw_author_name":"Yuriy S. Shmaliy","raw_affiliation_strings":["Department of Electronics, Guanajuato University, Salamanca, Mexico","Dept. of Electron., Guanajuato Univ., Salamanca, Mexico#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Guanajuato University, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Dept. of Electron., Guanajuato Univ., Salamanca, Mexico#TAB#","institution_ids":["https://openalex.org/I129858807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058205797"],"corresponding_institution_ids":["https://openalex.org/I129858807"],"apc_list":null,"apc_paid":null,"fwci":14.9652,"has_fulltext":false,"cited_by_count":200,"citation_normalized_percentile":{"value":0.9901109,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"59","issue":"6","first_page":"2465","last_page":"2473"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9976000189781189,"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":0.6596269607543945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6276860237121582},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.548940122127533},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4987366199493408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4250865578651428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42213165760040283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24230942130088806},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19553527235984802}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6596269607543945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6276860237121582},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.548940122127533},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4987366199493408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4250865578651428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42213165760040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24230942130088806},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19553527235984802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2011.2129516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2129516","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W615449195","https://openalex.org/W1530535841","https://openalex.org/W1968280194","https://openalex.org/W1979255915","https://openalex.org/W1981745143","https://openalex.org/W1983641808","https://openalex.org/W1995916093","https://openalex.org/W1999862258","https://openalex.org/W2003729608","https://openalex.org/W2008536834","https://openalex.org/W2012090168","https://openalex.org/W2016309114","https://openalex.org/W2020934227","https://openalex.org/W2023024035","https://openalex.org/W2028394421","https://openalex.org/W2038932552","https://openalex.org/W2052178830","https://openalex.org/W2070501400","https://openalex.org/W2078165199","https://openalex.org/W2089897235","https://openalex.org/W2097089521","https://openalex.org/W2098865243","https://openalex.org/W2103450980","https://openalex.org/W2105934661","https://openalex.org/W2107929215","https://openalex.org/W2109128511","https://openalex.org/W2109685219","https://openalex.org/W2113177183","https://openalex.org/W2115852080","https://openalex.org/W2121830132","https://openalex.org/W2122512809","https://openalex.org/W2128457724","https://openalex.org/W2128883967","https://openalex.org/W2131059677","https://openalex.org/W2139251171","https://openalex.org/W2154056001","https://openalex.org/W2157098139","https://openalex.org/W2158831640","https://openalex.org/W2160793474","https://openalex.org/W2163339627","https://openalex.org/W2164522607","https://openalex.org/W2168057752","https://openalex.org/W2171618211","https://openalex.org/W2999431506","https://openalex.org/W3127198975","https://openalex.org/W4255230573","https://openalex.org/W6675933666"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W4225152035","https://openalex.org/W1989941125","https://openalex.org/W1997992934","https://openalex.org/W2061531152","https://openalex.org/W4225393332"],"abstract_inverted_index":{"We":[0],"address":[1],"a":[2,65,71],"<i":[3,20,24,30,36,42],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[4,21,25,31,37,43],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</i>":[5,22,26,32,38,44],"-shift":[6],"finite":[7],"impulse":[8],"response":[9],"(FIR)":[10],"unbiased":[11],"estimator":[12],"(UE)":[13],"for":[14,53],"linear":[15],"discrete":[16],"time-varying":[17],"filtering":[18],"(":[19,29,41],"=0),":[23],"-step":[27],"prediction":[28],">;":[33],"0),":[34],"and":[35,56,68,96,107,111,136,141],"-lag":[39],"smoothing":[40],"<;":[45],"0)":[46],"in":[47,64,70,134],"state":[48],"space":[49],"with":[50,139],"no":[51],"requirements":[52],"initial":[54,97],"conditions":[55,98],"zero":[57],"mean":[58],"noise.":[59],"A":[60],"solution":[61],"is":[62,78,85,104],"found":[63],"batch":[66],"form":[67],"represented":[69],"computationally":[72],"efficient":[73],"iterative":[74],"Kalman-like":[75,82],"one.":[76],"It":[77],"shown":[79],"that":[80],"the":[81,89,93,109,121,129],"FIR":[83,130],"UE":[84,131],"able":[86],"to":[87,116],"outperform":[88],"Kalman":[90],"filter":[91],"if":[92],"noise":[94,103,113],"covariances":[95],"are":[99,123,132],"not":[100,105],"known":[101],"exactly,":[102],"white,":[106],"both":[108],"system":[110],"measurement":[112],"components":[114],"need":[115],"be":[117],"filtered":[118],"out.":[119],"Otherwise,":[120],"errors":[122],"similar.":[124],"Extensive":[125],"numerical":[126],"studies":[127],"of":[128],"provided":[133],"Gaussian":[135],"non-Gaussian":[137],"environments":[138],"outliers":[140],"temporary":[142],"uncertainties.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}