{"id":"https://openalex.org/W2981926311","doi":"https://doi.org/10.1109/tsmc.2019.2945616","title":"Distributed Covariance Intersection Fusion Estimation With Delayed Measurements and Unknown Inputs","display_name":"Distributed Covariance Intersection Fusion Estimation With Delayed Measurements and Unknown Inputs","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2981926311","doi":"https://doi.org/10.1109/tsmc.2019.2945616","mag":"2981926311"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2019.2945616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2945616","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5039427501","display_name":"Dongdong Yu","orcid":"https://orcid.org/0000-0002-4967-022X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongdong Yu","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, Chian"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, Chian","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064231378","display_name":"Yuanqing Xia","orcid":"https://orcid.org/0000-0002-5977-4911"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Xia","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, Chian"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, Chian","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361244","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-7654-7374"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022767380","display_name":"Zirui Xing","orcid":"https://orcid.org/0000-0002-9998-4243"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Xing","raw_affiliation_strings":["Research and Development and Application Center of Command Automation Technology, Forth Institute of China Aerospace Science and Industry Corporation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research and Development and Application Center of Command Automation Technology, Forth Institute of China Aerospace Science and Industry Corporation, Beijing, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023139452","display_name":"Cui Zhu","orcid":"https://orcid.org/0000-0001-9318-2445"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039427501"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.0108,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.77474564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"51","issue":"8","first_page":"5165","last_page":"5173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.8006043434143066},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7722036838531494},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6752035021781921},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.6621639728546143},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5782186388969421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5554159283638},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.534267246723175},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5152071118354797},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.4966617226600647},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.49250635504722595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47821328043937683},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.474372923374176},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.4564916491508484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.449318528175354},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.43887725472450256},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.4284048080444336},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37332212924957275},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.34545689821243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19613108038902283},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09691539406776428},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07622972130775452}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.8006043434143066},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7722036838531494},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6752035021781921},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.6621639728546143},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5782186388969421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5554159283638},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.534267246723175},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5152071118354797},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.4966617226600647},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.49250635504722595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47821328043937683},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.474372923374176},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.4564916491508484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.449318528175354},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.43887725472450256},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.4284048080444336},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37332212924957275},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.34545689821243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19613108038902283},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09691539406776428},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07622972130775452},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2019.2945616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2945616","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1537654142","display_name":null,"funder_award_id":"2019CX20031","funder_id":"https://openalex.org/F4320323110","funder_display_name":"Beijing Institute of Technology"},{"id":"https://openalex.org/G4170638589","display_name":null,"funder_award_id":"4161001","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G570175137","display_name":null,"funder_award_id":"61621063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5711894716","display_name":null,"funder_award_id":"61603047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7007940310","display_name":null,"funder_award_id":"61836001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7162007557","display_name":null,"funder_award_id":"61720106010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323110","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1152423495","https://openalex.org/W1717043929","https://openalex.org/W1972786320","https://openalex.org/W1984609538","https://openalex.org/W2060369659","https://openalex.org/W2064778834","https://openalex.org/W2065363913","https://openalex.org/W2141454563","https://openalex.org/W2148234182","https://openalex.org/W2164522996","https://openalex.org/W2165519686","https://openalex.org/W2310684275","https://openalex.org/W2322261970","https://openalex.org/W2334643484","https://openalex.org/W2344997249","https://openalex.org/W2461017019","https://openalex.org/W2473368950","https://openalex.org/W2566269102","https://openalex.org/W2597246818","https://openalex.org/W2603428934","https://openalex.org/W2615951371","https://openalex.org/W2766930537","https://openalex.org/W2770259009","https://openalex.org/W2783631917","https://openalex.org/W2790684652","https://openalex.org/W2795115382","https://openalex.org/W2807615729","https://openalex.org/W2807628287","https://openalex.org/W2886864890","https://openalex.org/W2899532358"],"related_works":["https://openalex.org/W2040968278","https://openalex.org/W69681753","https://openalex.org/W1974588588","https://openalex.org/W2126916073","https://openalex.org/W1627656821","https://openalex.org/W2964105278","https://openalex.org/W2138094255","https://openalex.org/W2118568436","https://openalex.org/W2139396625","https://openalex.org/W2572601863"],"abstract_inverted_index":{"This":[0],"article":[1],"is":[2,25,72,81,94,104,113,128],"concerned":[3],"with":[4,16,59],"the":[5,40,44,50,56,75,84,89,107,132,135],"distributed":[6,100,108],"covariance":[7],"intersection":[8],"(CI)":[9],"fusion":[10,92,101,111],"estimation":[11],"for":[12],"cyber-physical":[13],"systems":[14],"(CPSs)":[15],"delayed":[17,45],"measurements":[18,46],"and":[19,115],"unknown":[20,57],"inputs.":[21],"The":[22],"measurement":[23],"transmission":[24],"subject":[26],"to":[27,83,96,130],"random":[28],"delays":[29],"described":[30],"by":[31],"a":[32,60,64,98],"set":[33],"of":[34,134],"independent":[35],"Bernoulli":[36],"processes.":[37],"Based":[38],"on":[39],"provided":[41,129],"finite-length":[42],"buffers,":[43],"are":[47],"retrieved":[48],"within":[49],"corresponding":[51],"buffer":[52],"length.":[53],"By":[54],"modeling":[55],"inputs":[58],"noninformative":[61],"prior":[62],"distribution,":[63],"local":[65,120],"minimum":[66],"mean":[67],"square":[68],"error":[69],"(MMSE)":[70],"estimator":[71,112,121],"derived":[73],"in":[74,122],"Bayesian":[76],"framework.":[77],"Then":[78],"this":[79],"result":[80],"extended":[82],"multiple":[85],"sensor":[86],"scenario,":[87],"where":[88],"sequential":[90,109],"CI":[91,110],"approach":[93],"applied":[95],"design":[97],"recursively":[99],"estimator.":[102],"It":[103],"proved":[105],"that":[106],"consistent":[114],"performs":[116],"better":[117],"than":[118],"each":[119],"state":[123],"estimation.":[124],"An":[125],"illustrative":[126],"example":[127],"demonstrate":[131],"effectiveness":[133],"proposed":[136],"technique.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}