{"id":"https://openalex.org/W2011573697","doi":"https://doi.org/10.1109/tcsi.2013.2285693","title":"Fusion Estimation for Sensor Networks With Nonuniform Estimation Rates","display_name":"Fusion Estimation for Sensor Networks With Nonuniform Estimation Rates","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2011573697","doi":"https://doi.org/10.1109/tcsi.2013.2285693","mag":"2011573697"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2013.2285693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2013.2285693","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","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/A5019060617","display_name":"Wen\u2010An Zhang","orcid":"https://orcid.org/0000-0002-4355-2783"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen-An Zhang","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, P.R.China","Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010945720","display_name":"Steven Liu","orcid":"https://orcid.org/0000-0002-3407-2745"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Kaiserslautern, Kaiserslautern, Germany","[Dept. of Electr. & Comput. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany]","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702456","display_name":"Li Yu","orcid":"https://orcid.org/0000-0003-3889-3863"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, P.R.China","Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019060617"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":9.3098,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98102421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"61","issue":"5","first_page":"1485","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991000294685364,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.996399998664856,"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/estimator","display_name":"Estimator","score":0.8915534615516663},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6163271069526672},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5980091691017151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670070648193359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5573588013648987},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.552214503288269},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5324581265449524},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5308913588523865},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.530763566493988},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5160858035087585},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4920141398906708},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4749172627925873},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47066912055015564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3739970624446869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3046676516532898},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2519572973251343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14093637466430664},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1275043487548828},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11682558059692383},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10142743587493896}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8915534615516663},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6163271069526672},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5980091691017151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670070648193359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5573588013648987},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.552214503288269},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5324581265449524},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5308913588523865},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.530763566493988},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5160858035087585},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4920141398906708},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4749172627925873},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47066912055015564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3739970624446869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3046676516532898},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2519572973251343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14093637466430664},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1275043487548828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11682558059692383},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10142743587493896},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.1109/tcsi.2013.2285693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2013.2285693","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4945529135","display_name":null,"funder_award_id":"61104063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6168856603","display_name":null,"funder_award_id":"61273117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7255585996","display_name":null,"funder_award_id":"20113317120001","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1537690864","https://openalex.org/W1593391384","https://openalex.org/W1665207485","https://openalex.org/W1883385507","https://openalex.org/W1964787902","https://openalex.org/W1991963113","https://openalex.org/W2011457345","https://openalex.org/W2013697479","https://openalex.org/W2018142823","https://openalex.org/W2020968226","https://openalex.org/W2022863828","https://openalex.org/W2023854323","https://openalex.org/W2029774596","https://openalex.org/W2032498086","https://openalex.org/W2051234657","https://openalex.org/W2053919665","https://openalex.org/W2061834282","https://openalex.org/W2064183516","https://openalex.org/W2064937482","https://openalex.org/W2069769628","https://openalex.org/W2074946112","https://openalex.org/W2076618762","https://openalex.org/W2081628559","https://openalex.org/W2095780937","https://openalex.org/W2095905932","https://openalex.org/W2099319707","https://openalex.org/W2111675632","https://openalex.org/W2115177366","https://openalex.org/W2115966161","https://openalex.org/W2116576949","https://openalex.org/W2117926741","https://openalex.org/W2125250394","https://openalex.org/W2140496621","https://openalex.org/W2141819465","https://openalex.org/W2142315243","https://openalex.org/W2152898444","https://openalex.org/W2164522996","https://openalex.org/W2170680261"],"related_works":["https://openalex.org/W1971268144","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W4390606538","https://openalex.org/W2095903272","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039","https://openalex.org/W2145797872"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,39,43,97,111,114,139,154,157],"multi-sensor":[4],"fusion":[5,55,89],"estimation":[6,14,40,85],"problem":[7],"for":[8,62,138],"wireless":[9],"sensor":[10,18,64],"networks":[11],"with":[12,22,57],"nonuniform":[13],"rates.":[15],"First,":[16],"each":[17,51,63],"generates":[19],"local":[20,68],"estimates":[21,69],"two":[23,147],"rates,":[24],"namely,":[25],"a":[26,30,54,76],"fast":[27],"rate":[28,32],"and":[29,75,103,106,132,135],"slow":[31],"according":[33,125],"to":[34,47,65,83,93,110,126,152],"its":[35],"power":[36],"situation,":[37],"where":[38,96,113],"rates":[41],"among":[42],"sensors":[44,115],"are":[45,81,100,104,116,123,150],"allowed":[46],"be":[48],"different":[49,72,127],"from":[50],"other.":[52],"Second,":[53],"rule":[56],"matrix":[58],"weights":[59],"is":[60,91,107,143],"designed":[61,124],"fuse":[66],"available":[67],"generated":[70],"at":[71],"time":[73],"scales,":[74],"set":[77],"of":[78,121,129,156],"recursive":[79],"equations":[80],"presented":[82],"compute":[84],"error":[86],"cross-covariances.":[87],"The":[88],"algorithm":[90],"applicable":[92,109],"both":[94],"cases":[95],"measurement":[98],"noises":[99],"mutually":[101],"correlated":[102],"uncorrelated,":[105],"also":[108,144],"case":[112],"not":[117],"time-synchronized.":[118],"Two":[119],"types":[120],"estimators":[122,142],"considerations":[128],"design":[130],"complexity":[131],"computation":[133],"costs,":[134],"convergence":[136],"analysis":[137],"type":[140],"II":[141],"presented.":[145],"Finally,":[146],"illustrative":[148],"examples":[149],"given":[151],"demonstrate":[153],"effectiveness":[155],"proposed":[158],"estimators.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
