{"id":"https://openalex.org/W2806837343","doi":"https://doi.org/10.3390/s18061778","title":"Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement","display_name":"Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2806837343","doi":"https://doi.org/10.3390/s18061778","mag":"2806837343","pmid":"https://pubmed.ncbi.nlm.nih.gov/29865172"},"language":"en","primary_location":{"id":"doi:10.3390/s18061778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061778","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1778/pdf?version=1527848238","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/6/1778/pdf?version=1527848238","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084900819","display_name":"Venkat Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Venkat Roy","raw_affiliation_strings":["NXP Semiconductors, High Tech Campus 46, 5656 AE Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors, High Tech Campus 46, 5656 AE Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019172720","display_name":"Andrea Simonetto","orcid":"https://orcid.org/0000-0003-2923-3361"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Andrea Simonetto","raw_affiliation_strings":["Optimisation and Control group, IBM Research Ireland, Dublin 15, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Optimisation and Control group, IBM Research Ireland, Dublin 15, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089101522","display_name":"Geert Leus","orcid":"https://orcid.org/0000-0001-8288-867X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert Leus","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084900819"],"corresponding_institution_ids":["https://openalex.org/I109147379"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3533,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85699944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":"6","first_page":"1778","last_page":"1778"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7016909122467041},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6851449608802795},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5632390975952148},{"id":"https://openalex.org/keywords/optimal-estimation","display_name":"Optimal estimation","score":0.5486132502555847},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5369733572006226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5262726545333862},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5211151242256165},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5171817541122437},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4703510105609894},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.43030983209609985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4118127226829529},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3960399031639099},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36906057596206665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32226890325546265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2094886600971222},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10607770085334778},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08466827869415283}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7016909122467041},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6851449608802795},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5632390975952148},{"id":"https://openalex.org/C39425265","wikidata":"https://www.wikidata.org/wiki/Q7098944","display_name":"Optimal estimation","level":2,"score":0.5486132502555847},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5369733572006226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5262726545333862},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5211151242256165},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5171817541122437},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4703510105609894},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.43030983209609985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4118127226829529},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3960399031639099},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36906057596206665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32226890325546265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2094886600971222},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10607770085334778},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08466827869415283},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s18061778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061778","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1778/pdf?version=1527848238","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29865172","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29865172","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:tud:oai:tudelft.nl:uuid:4b472a6e-68db-4217-a2c8-e9f10ad9bd10","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:4b472a6e-68db-4217-a2c8-e9f10ad9bd10","pdf_url":"http://resolver.tudelft.nl/uuid:4b472a6e-68db-4217-a2c8-e9f10ad9bd10","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, 18(6)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:1fea58c0bbb44ffb847425a0ff294814","is_oa":true,"landing_page_url":"https://doaj.org/article/1fea58c0bbb44ffb847425a0ff294814","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 6, p 1778 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4978293","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6021959","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/6/1778/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18061778","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18061778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18061778","pdf_url":"https://www.mdpi.com/1424-8220/18/6/1778/pdf?version=1527848238","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2806837343.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W24328814","https://openalex.org/W146619314","https://openalex.org/W601154698","https://openalex.org/W1665592999","https://openalex.org/W1965392255","https://openalex.org/W1965761461","https://openalex.org/W1966449239","https://openalex.org/W1967073510","https://openalex.org/W1982283335","https://openalex.org/W1987484735","https://openalex.org/W2031332288","https://openalex.org/W2037342645","https://openalex.org/W2039802096","https://openalex.org/W2044803016","https://openalex.org/W2045322901","https://openalex.org/W2085637792","https://openalex.org/W2094436573","https://openalex.org/W2107861471","https://openalex.org/W2112411455","https://openalex.org/W2115513183","https://openalex.org/W2120787649","https://openalex.org/W2131824593","https://openalex.org/W2143225719","https://openalex.org/W2144010578","https://openalex.org/W2169207653","https://openalex.org/W2257439149","https://openalex.org/W2296319761","https://openalex.org/W2372931057","https://openalex.org/W2566859239","https://openalex.org/W2611875623","https://openalex.org/W2963005128","https://openalex.org/W3003506411","https://openalex.org/W3098501491","https://openalex.org/W6679608865"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W1633787648","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1974955043"],"abstract_inverted_index":{"We":[0,37],"propose":[1],"a":[2,12,18,56,79,102,115],"sensor":[3,63,71,144],"placement":[4,72,145],"method":[5,73],"for":[6,78],"spatio-temporal":[7],"field":[8,123],"estimation":[9,40,150],"based":[10],"on":[11],"kriged":[13],"Kalman":[14],"filter":[15],"(KKF)":[16],"using":[17,124],"network":[19],"of":[20,50,82,92,96,111,140],"static":[21],"or":[22,86],"mobile":[23],"sensors.":[24,36],"The":[25,69],"developed":[26,70],"framework":[27],"dynamically":[28],"designs":[29],"the":[30,35,39,43,51,61,89,93,97,108,112,122,125,128,138,141,148],"optimal":[31,62],"constellation":[32,64],"to":[33,59,120,136],"place":[34],"combine":[38],"error":[41],"(for":[42],"stationary":[44,94],"as":[45,47,101],"well":[46],"non-stationary":[48,109],"component":[49,95,110],"field)":[52],"minimization":[53],"problem":[54],"with":[55],"sparsity-enforcing":[57],"penalty":[58],"design":[60],"in":[65],"an":[66],"economic":[67],"manner.":[68],"can":[74],"be":[75],"directly":[76],"used":[77,119],"general":[80],"class":[81],"covariance":[83],"matrices":[84],"(ill-conditioned":[85],"well-conditioned)":[87],"modelling":[88],"spatial":[90],"variability":[91],"field,":[98],"which":[99],"acts":[100],"correlated":[103],"observation":[104],"noise,":[105],"while":[106],"estimating":[107],"field.":[113],"Finally,":[114],"KKF":[116,149],"estimator":[117],"is":[118],"estimate":[121],"measurements":[126],"from":[127],"selected":[129],"sensing":[130],"locations.":[131],"Numerical":[132],"results":[133],"are":[134],"provided":[135],"exhibit":[137],"feasibility":[139],"proposed":[142],"dynamic":[143],"followed":[146],"by":[147],"method.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
