{"id":"https://openalex.org/W3049687998","doi":"https://doi.org/10.1109/tsp49548.2020.9163567","title":"Polynomial Based Kalman Filter Result Fitting to Data","display_name":"Polynomial Based Kalman Filter Result Fitting to Data","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3049687998","doi":"https://doi.org/10.1109/tsp49548.2020.9163567","mag":"3049687998"},"language":"en","primary_location":{"id":"doi:10.1109/tsp49548.2020.9163567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Conference on Telecommunications and Signal Processing (TSP)","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/A5039349144","display_name":"Georgiana Magu","orcid":"https://orcid.org/0000-0001-6952-5321"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Georgiana Magu","raw_affiliation_strings":["Communications Department, Politehnica University, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Politehnica University, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029649044","display_name":"Radu Lucaciu","orcid":"https://orcid.org/0000-0002-6011-4777"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Lucaciu","raw_affiliation_strings":["Communications Department, Politehnica University, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Politehnica University, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045316602","display_name":"Alexandru Isar","orcid":"https://orcid.org/0000-0003-0510-7344"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandru Isar","raw_affiliation_strings":["Communications Department, Politehnica University, Timisoara, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Politehnica University, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69753395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"68"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7421940565109253},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.7112362384796143},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5808922052383423},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5338839888572693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49727943539619446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49076375365257263},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.46771329641342163},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.43770450353622437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3944266736507416},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36858636140823364},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3484468162059784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2472807765007019},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16038015484809875}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7421940565109253},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.7112362384796143},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5808922052383423},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5338839888572693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49727943539619446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49076375365257263},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.46771329641342163},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.43770450353622437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3944266736507416},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36858636140823364},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3484468162059784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2472807765007019},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16038015484809875},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp49548.2020.9163567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W2053773763","https://openalex.org/W2105934661","https://openalex.org/W2115755118","https://openalex.org/W2158940042","https://openalex.org/W2475771804","https://openalex.org/W2480210587","https://openalex.org/W2592680288","https://openalex.org/W3046091798","https://openalex.org/W4214806317","https://openalex.org/W6610783275"],"related_works":["https://openalex.org/W2182059946","https://openalex.org/W1580685205","https://openalex.org/W2320496747","https://openalex.org/W1488420340","https://openalex.org/W4206770590","https://openalex.org/W2375426323","https://openalex.org/W2164174227","https://openalex.org/W2030134288","https://openalex.org/W2363340733","https://openalex.org/W2103062922"],"abstract_inverted_index":{"A":[0,14],"Kalman":[1,40,84],"based":[2,96],"trajectory":[3,66],"estimate":[4],"always":[5],"has":[6],"an":[7,122],"associated":[8],"uncertainty":[9,19],"characterized":[10],"by":[11],"its":[12,111],"covariance.":[13],"way":[15],"to":[16,75,86],"reduce":[17],"this":[18],"consists":[20],"in":[21,39,69,99,121],"the":[22,28,37,62,65,77,81,114],"adaptive":[23],"selection":[24],"of":[25,83,116],"parameters":[26,38],"during":[27],"filtering":[29],"process.":[30],"Different":[31],"informed":[32],"strategies":[33],"for":[34],"automatically":[35],"tuning":[36],"smoothers":[41],"were":[42],"already":[43],"proposed.":[44],"We":[45,89],"propose":[46,90],"here":[47],"a":[48,87,91],"different":[49],"semi-blind":[50],"post":[51],"processing":[52],"approach,":[53],"which":[54],"is":[55,67],"faster":[56],"and":[57,103,107],"more":[58],"robust.":[59],"Starting":[60],"from":[61],"conjecture":[63],"that":[64],"polynomial":[68,93,104,118],"cartesian":[70],"coordinates,":[71],"our":[72],"method":[73,95,120],"supposes":[74],"fit":[76],"data":[78],"obtained":[79],"at":[80],"output":[82],"filter":[85],"polynomial.":[88],"new":[92],"fitting":[94,119],"on":[97],"wavelets":[98],"two":[100],"steps:":[101],"denoising":[102],"part":[105],"extraction":[106],"we":[108],"compare":[109],"favorably":[110],"performance":[112,115],"with":[113],"classical":[117],"experiment":[123],"using":[124],"real":[125],"data.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}