{"id":"https://openalex.org/W2136820585","doi":"https://doi.org/10.1109/acc.2006.1655484","title":"A quasi-Gaussian Kalman filter","display_name":"A quasi-Gaussian Kalman filter","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2136820585","doi":"https://doi.org/10.1109/acc.2006.1655484","mag":"2136820585"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2006.1655484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1655484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","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/A5061286389","display_name":"Suman Chakravorty","orcid":"https://orcid.org/0000-0003-3074-3406"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Chakravorty","raw_affiliation_strings":["Faculty of Aerospace Engineering, Texas A and M University, College Station, TX, USA","Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Aerospace Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073597636","display_name":"Mrinal Kumar","orcid":"https://orcid.org/0000-0001-9747-9449"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Kumar","raw_affiliation_strings":["Department of Aerospace Engineering, Texas A and M University, College Station, TX, USA","Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022429401","display_name":"Puneet Singla","orcid":"https://orcid.org/0000-0002-2441-2531"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Singla","raw_affiliation_strings":["Department of Aerospace Engineering, Texas A and M University, College Station, TX, USA","Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3314,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89762661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"6 pp.","last_page":"6 pp."},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9598000049591064,"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"}},{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8189772963523865},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.7897071838378906},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.7655760049819946},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.708752453327179},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.6937437057495117},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.6671788096427917},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.6184418201446533},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5669590830802917},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5470638275146484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5396464467048645},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.49241459369659424},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.467867374420166},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4464534819126129},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.428437739610672},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.41694778203964233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41132768988609314},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3920101523399353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37621909379959106},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.19398891925811768},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.16428521275520325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13967198133468628},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08097812533378601}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8189772963523865},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.7897071838378906},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.7655760049819946},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.708752453327179},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.6937437057495117},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.6671788096427917},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.6184418201446533},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5669590830802917},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5470638275146484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5396464467048645},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.49241459369659424},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.467867374420166},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4464534819126129},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.428437739610672},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.41694778203964233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41132768988609314},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3920101523399353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37621909379959106},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.19398891925811768},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.16428521275520325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13967198133468628},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08097812533378601},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2006.1655484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2006.1655484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W309545686","https://openalex.org/W1483307070","https://openalex.org/W1540809269","https://openalex.org/W1973108647","https://openalex.org/W1980775454","https://openalex.org/W2000168014","https://openalex.org/W2009659616","https://openalex.org/W2010356901","https://openalex.org/W2017277760","https://openalex.org/W2020934227","https://openalex.org/W2034541289","https://openalex.org/W2055601837","https://openalex.org/W2087435860","https://openalex.org/W2094060968","https://openalex.org/W2099371695","https://openalex.org/W2099867508","https://openalex.org/W2105934661","https://openalex.org/W2114849571","https://openalex.org/W2115906687","https://openalex.org/W2121990344","https://openalex.org/W2122512809","https://openalex.org/W2123487311","https://openalex.org/W2126423185","https://openalex.org/W2141162165","https://openalex.org/W2800420890","https://openalex.org/W2886284521","https://openalex.org/W3021559346","https://openalex.org/W4240788980","https://openalex.org/W6655473528","https://openalex.org/W6678361441"],"related_works":["https://openalex.org/W2013002270","https://openalex.org/W157353558","https://openalex.org/W2748318014","https://openalex.org/W2145938889","https://openalex.org/W2116631566","https://openalex.org/W2920893015","https://openalex.org/W2363340733","https://openalex.org/W2526394089","https://openalex.org/W2113373687","https://openalex.org/W2476513453"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,24],"present":[4],"a":[5,72,93],"Gaussian":[6,27],"approximation":[7,28],"to":[8,29,49,79,116],"the":[9,14,20,26,31,41,51,55,68,76,81,85,99,102,106],"nonlinear":[10],"filtering":[11,32],"problem,":[12],"namely":[13],"quasi-Gaussian":[15],"Kalman":[16,37,56,86,121],"filter.":[17,122],"Starting":[18],"with":[19],"recursive":[21],"Bayes":[22],"filter,":[23],"invoke":[25],"reduce":[30],"problem":[33],"into":[34],"an":[35,119],"optimal":[36],"recursion.":[38,87],"We":[39,58,88],"use":[40],"moment":[42],"evolution":[43],"equations":[44,48,108],"for":[45],"stochastic":[46,65],"dynamic":[47],"evaluate":[50],"prediction":[52],"terms":[53],"in":[54,84],"recursions.":[57],"propose":[59],"two":[60,95],"methods,":[61],"one":[62],"based":[63,70],"on":[64,71,92],"linearization":[66],"and":[67,105,112],"other":[69],"direct":[73],"evaluation":[74],"of":[75,101,118],"innovations":[77],"terms,":[78],"perform":[80],"measurement":[82,107],"update":[83],"test":[89],"our":[90],"filter":[91],"simple":[94],"dimensional":[96],"example,":[97],"where":[98],"nonlinearity":[100],"system":[103],"dynamics":[104],"can":[109],"be":[110],"varied,":[111],"compare":[113],"its":[114],"performance":[115],"that":[117],"extended":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}