{"id":"https://openalex.org/W1978141941","doi":"https://doi.org/10.1109/taes.2012.6237611","title":"Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation","display_name":"Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1978141941","doi":"https://doi.org/10.1109/taes.2012.6237611","mag":"1978141941"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2012.6237611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2012.6237611","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5084920610","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0002-2816-1266"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chun Yang","raw_affiliation_strings":["Sigtem Technology, Inc., San Mateo, CA, USA","Sigtem Technology, Inc"],"affiliations":[{"raw_affiliation_string":"Sigtem Technology, Inc., San Mateo, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Sigtem Technology, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022713560","display_name":"Lance Kaplan","orcid":"https://orcid.org/0000-0002-3627-4471"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance Kaplan","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA","[U.S. Army Research Laboratories]"],"affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"[U.S. Army Research Laboratories]","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023894377","display_name":"Erik Blasch","orcid":"https://orcid.org/0000-0001-6894-6108"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Blasch","raw_affiliation_strings":["Air Force Research Laboratory, OH, USA","air force research lab"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, OH, USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"air force research lab","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084920610"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.2957,"has_fulltext":false,"cited_by_count":153,"citation_normalized_percentile":{"value":0.99521779,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"48","issue":"3","first_page":"2594","last_page":"2613"},"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":0.9991000294685364,"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"}},"topics":[{"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9735000133514404,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9243999719619751,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/covariance-matrix","display_name":"Covariance matrix","score":0.6713493466377258},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6622501611709595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6408059597015381},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5447618961334229},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5113003253936768},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4139633774757385},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40381914377212524},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4018019735813141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3795623183250427},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32821375131607056},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.27106398344039917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22304505109786987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14703688025474548},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13594317436218262}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6713493466377258},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6622501611709595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408059597015381},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5447618961334229},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5113003253936768},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4139633774757385},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40381914377212524},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4018019735813141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3795623183250427},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32821375131607056},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.27106398344039917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22304505109786987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14703688025474548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13594317436218262},{"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/taes.2012.6237611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2012.6237611","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W590604950","https://openalex.org/W1501041745","https://openalex.org/W1559536185","https://openalex.org/W1568122762","https://openalex.org/W1602659231","https://openalex.org/W1657821752","https://openalex.org/W2000219630","https://openalex.org/W2023984401","https://openalex.org/W2024152572","https://openalex.org/W2039728842","https://openalex.org/W2055363721","https://openalex.org/W2059160202","https://openalex.org/W2088587583","https://openalex.org/W2116687437","https://openalex.org/W2123989199","https://openalex.org/W2129078811","https://openalex.org/W2131098021","https://openalex.org/W2135363996","https://openalex.org/W2136301902","https://openalex.org/W2137700663","https://openalex.org/W2138710755","https://openalex.org/W2141124647","https://openalex.org/W2142425726","https://openalex.org/W2148451326","https://openalex.org/W2163374846","https://openalex.org/W2167989066","https://openalex.org/W2169336303","https://openalex.org/W2169536654","https://openalex.org/W2286953052","https://openalex.org/W2610857016","https://openalex.org/W2798909945"],"related_works":["https://openalex.org/W2718384077","https://openalex.org/W1597192237","https://openalex.org/W2022823194","https://openalex.org/W2317323511","https://openalex.org/W4286306217","https://openalex.org/W2395573186","https://openalex.org/W4206024512","https://openalex.org/W1489099099","https://openalex.org/W1970833970","https://openalex.org/W2188632562"],"abstract_inverted_index":{"In":[0,68],"target":[1,10],"tracking,":[2],"sensor":[3,152],"resource":[4,110],"management":[5,111],"(SRM)":[6],"assigns":[7],"to":[8,46,62,75,122,130,139,165],"each":[9],"a":[11],"best":[12,154],"combination":[13],"of":[14,20,27,85,90,133,168],"sensors,":[15],"which":[16,104],"requires":[17],"performance":[18,54,77,99,163],"analysis":[19,127,147],"track":[21,28],"filter":[22,33],"updates.":[23],"Two":[24],"popular":[25],"implementations":[26],"filters":[29,44,60],"are":[30,107],"the":[31,38,48,64,83,91,114,118,131,135,146],"Kalman":[32,43],"(or":[34],"covariance":[35,51,92],"filter)":[36],"and":[37,88,142,171],"information":[39,59,65,95],"filter.":[40],"SRM":[41,57,172],"with":[42,58],"attempts":[45],"minimize":[47],"estimation":[49],"error":[50],"matrix-based":[52,66],"scalar":[53,76,98],"measures,":[55],"whereas":[56],"aims":[61],"maximize":[63],"counterpart.":[67],"this":[69,126],"paper,":[70],"we":[71,159],"investigate":[72],"issues":[73],"related":[74],"measures":[78,106,120,164],"and,":[79],"in":[80],"particular,":[81],"compare":[82],"use":[84],"trace,":[86],"determinant,":[87],"eigenvalues":[89],"matrix":[93,96,105,119],"or":[94],"as":[97],"measures.":[100],"The":[101],"study":[102,115],"demonstrates":[103,137],"appropriate":[108],"for":[109],"applications.":[112,173],"Furthermore,":[113],"shows":[116],"when":[117],"lead":[121],"equivalent":[123],"goals.":[124],"While":[125],"is":[128],"agnostic":[129],"type":[132],"measurement,":[134],"paper":[136],"how":[138,151],"accommodate":[140],"bearing":[141],"range":[143],"measurements.":[144],"Overall,":[145],"provides":[148],"insight":[149],"about":[150],"measurements":[153],"reduce":[155],"uncertainty":[156],"so":[157],"that":[158],"can":[160],"properly":[161],"exploit":[162],"satisfy":[166],"requirements":[167],"practical":[169],"tracking":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}