{"id":"https://openalex.org/W3205645919","doi":"https://doi.org/10.1109/mfi52462.2021.9591186","title":"Kalman Filtered Compressive Sensing Using Pseudo-Measurements","display_name":"Kalman Filtered Compressive Sensing Using Pseudo-Measurements","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3205645919","doi":"https://doi.org/10.1109/mfi52462.2021.9591186","mag":"3205645919"},"language":"en","primary_location":{"id":"doi:10.1109/mfi52462.2021.9591186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5084787896","display_name":"Haibin Zhao","orcid":"https://orcid.org/0000-0001-7018-1159"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I4210155526","display_name":"Institute for Telematics","ror":"https://ror.org/04hp0zc29","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210155526"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Haibin Zhao","raw_affiliation_strings":["Chair for Pervasive Computing Systems, Institute for Telematics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Pervasive Computing Systems, Institute for Telematics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I4210155526","https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102953954","display_name":"Christopher Funk","orcid":"https://orcid.org/0000-0001-6268-678X"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christopher Funk","raw_affiliation_strings":["Institute for Intelligent Cooperating Systems, Otto von Guericke University Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Cooperating Systems, Otto von Guericke University Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080767310","display_name":"Benjamin Noack","orcid":"https://orcid.org/0000-0001-8996-5738"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Noack","raw_affiliation_strings":["Institute for Intelligent Cooperating Systems, Otto von Guericke University Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Cooperating Systems, Otto von Guericke University Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055331421","display_name":"Uwe D. Hanebeck","orcid":"https://orcid.org/0000-0001-9870-2331"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe Hanebeck","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory, Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory, Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082553444","display_name":"Michael Beigl","orcid":"https://orcid.org/0000-0001-5009-2327"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I4210155526","display_name":"Institute for Telematics","ror":"https://ror.org/04hp0zc29","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210155526"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Beigl","raw_affiliation_strings":["Chair for Pervasive Computing Systems, Institute for Telematics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Pervasive Computing Systems, Institute for Telematics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I4210155526","https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084787896"],"corresponding_institution_ids":["https://openalex.org/I102335020","https://openalex.org/I4210155526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16347414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8357986807823181},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6865728497505188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176477670669556},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5604081749916077},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5546793937683105},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5440035462379456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5096430778503418},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.47304433584213257},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46237680315971375},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.437887579202652},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.40997955203056335},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3419446647167206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29158663749694824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24846580624580383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1567465364933014},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.14443743228912354},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13727426528930664},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06558209657669067}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8357986807823181},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6865728497505188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176477670669556},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5604081749916077},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5546793937683105},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5440035462379456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5096430778503418},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.47304433584213257},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46237680315971375},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.437887579202652},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.40997955203056335},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3419446647167206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29158663749694824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24846580624580383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1567465364933014},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.14443743228912354},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13727426528930664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06558209657669067},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/mfi52462.2021.9591186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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":43,"referenced_works":["https://openalex.org/W58362420","https://openalex.org/W1550329059","https://openalex.org/W1848264314","https://openalex.org/W1966673696","https://openalex.org/W1977252496","https://openalex.org/W1978357561","https://openalex.org/W1995463076","https://openalex.org/W2001466605","https://openalex.org/W2005876975","https://openalex.org/W2020390700","https://openalex.org/W2022240529","https://openalex.org/W2030856911","https://openalex.org/W2032558547","https://openalex.org/W2058009001","https://openalex.org/W2071284784","https://openalex.org/W2096720538","https://openalex.org/W2105464873","https://openalex.org/W2105934661","https://openalex.org/W2110005331","https://openalex.org/W2120961178","https://openalex.org/W2121373767","https://openalex.org/W2121990344","https://openalex.org/W2122548617","https://openalex.org/W2129131372","https://openalex.org/W2135479785","https://openalex.org/W2138500679","https://openalex.org/W2154332973","https://openalex.org/W2154571593","https://openalex.org/W2161305109","https://openalex.org/W2167657634","https://openalex.org/W2280695970","https://openalex.org/W2296616510","https://openalex.org/W2312158292","https://openalex.org/W2479862005","https://openalex.org/W2480981092","https://openalex.org/W2556237558","https://openalex.org/W3011533318","https://openalex.org/W3022969843","https://openalex.org/W3212896302","https://openalex.org/W4250955649","https://openalex.org/W4252713891","https://openalex.org/W6642204878","https://openalex.org/W6721875038"],"related_works":["https://openalex.org/W2772311278","https://openalex.org/W4206024512","https://openalex.org/W2359845109","https://openalex.org/W2089114113","https://openalex.org/W2136719298","https://openalex.org/W2164981166","https://openalex.org/W2911693460","https://openalex.org/W1035502194","https://openalex.org/W2354299011","https://openalex.org/W4300476109"],"abstract_inverted_index":{"In":[0],"this":[1,93],"paper,":[2],"we":[3,35],"combine":[4],"the":[5,17,24,29,32,39,51,54,62,76,107,112,117,128,136,143],"Kalman":[6,25,84,114],"filter":[7,85,115],"and":[8,56,87,139],"compressive":[9,80],"sensing":[10],"using":[11],"pseudo-measurements":[12],"in":[13,46,148],"order":[14],"to":[15,106,111,135],"reduce":[16,50],"number":[18,119],"of":[19,31,38,41,53,75,92,120,145],"measurements":[20],"usually":[21],"required":[22],"by":[23,71,78,88],"filter.":[26],"To":[27],"overcome":[28],"non-sparsity":[30],"measurement":[33,63,81,129],"vectors,":[34],"make":[36],"use":[37],"change":[40],"their":[42],"coefficients":[43],"when":[44,127],"represented":[45],"a":[47,58,101],"certain":[48],"basis,":[49],"dimensionality":[52],"coefficients,":[55],"learn":[57],"sparse":[59],"basis":[60],"for":[61],"vectors.":[64],"We":[65],"further":[66],"improve":[67],"our":[68,98],"proposed":[69],"method":[70],"introducing":[72],"dynamic":[73],"weighting":[74],"pseudo-measurements,":[77],"aiding":[79],"reconstruction":[82],"with":[83,104,116,151],"estimates":[86],"employing":[89],"iterative":[90],"versions":[91],"process.":[94],"Simulations":[95],"show":[96],"that":[97],"approach":[99,123],"achieves":[100],"37%":[102],"improvement":[103],"respect":[105],"mean-square":[108],"error":[109],"compared":[110,134],"traditional":[113],"same":[118],"measurements.":[121],"Our":[122],"yields":[124],"better":[125],"results":[126],"noise":[130],"is":[131],"relatively":[132],"large":[133],"system":[137],"noise,":[138],"it":[140],"significantly":[141],"improves":[142],"accuracy":[144],"state":[146],"estimation":[147],"sensor":[149,153],"networks":[150],"low":[152],"precision.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}