{"id":"https://openalex.org/W4317038485","doi":"https://doi.org/10.1109/tii.2022.3233657","title":"Inverse-Covariance-Intersection-Based Distributed Estimation and Application in Wireless Sensor Network","display_name":"Inverse-Covariance-Intersection-Based Distributed Estimation and Application in Wireless Sensor Network","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4317038485","doi":"https://doi.org/10.1109/tii.2022.3233657"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3233657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3233657","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5101825617","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0003-2570-543X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2570-543X","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083549815","display_name":"Ming Xin","orcid":"https://orcid.org/0000-0002-9947-6986"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Xin","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-9947-6986","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101825617"],"corresponding_institution_ids":["https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":3.0125,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92688693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"10","first_page":"10079","last_page":"10090"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9983000159263611,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9980000257492065,"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/covariance-intersection","display_name":"Covariance intersection","score":0.8958203196525574},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7312682867050171},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7066010236740112},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6806755065917969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5888877511024475},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5304262638092041},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5211865305900574},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5160248279571533},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5146192312240601},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.48351767659187317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4583842158317566},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3845299780368805},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.2975917458534241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2612747550010681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15223905444145203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15192505717277527},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08452510833740234}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.8958203196525574},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7312682867050171},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7066010236740112},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6806755065917969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5888877511024475},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5304262638092041},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5211865305900574},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5160248279571533},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5146192312240601},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.48351767659187317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4583842158317566},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3845299780368805},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.2975917458534241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2612747550010681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15223905444145203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15192505717277527},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08452510833740234},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3233657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3233657","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W7309667","https://openalex.org/W250076511","https://openalex.org/W1986398770","https://openalex.org/W2000340713","https://openalex.org/W2005850412","https://openalex.org/W2026478216","https://openalex.org/W2074796812","https://openalex.org/W2084044206","https://openalex.org/W2107396783","https://openalex.org/W2114864438","https://openalex.org/W2123487311","https://openalex.org/W2138896396","https://openalex.org/W2153344006","https://openalex.org/W2169329579","https://openalex.org/W2185205315","https://openalex.org/W2319020291","https://openalex.org/W2343669655","https://openalex.org/W2549274538","https://openalex.org/W2557610955","https://openalex.org/W2593819095","https://openalex.org/W2718384077","https://openalex.org/W2744182734","https://openalex.org/W2770983174","https://openalex.org/W2775019958","https://openalex.org/W2801392513","https://openalex.org/W2885249296","https://openalex.org/W2886864890","https://openalex.org/W2921138327","https://openalex.org/W2925391888","https://openalex.org/W2941605400","https://openalex.org/W3049728568","https://openalex.org/W3084622875","https://openalex.org/W3117166559","https://openalex.org/W3194760230","https://openalex.org/W3198048043","https://openalex.org/W4244375620","https://openalex.org/W6600296990","https://openalex.org/W6674727558"],"related_works":["https://openalex.org/W2509635936","https://openalex.org/W2952184814","https://openalex.org/W2718384077","https://openalex.org/W3107202282","https://openalex.org/W1597192237","https://openalex.org/W2525877954","https://openalex.org/W2022823194","https://openalex.org/W2317323511","https://openalex.org/W4286306217","https://openalex.org/W1489099099"],"abstract_inverted_index":{"In":[0],"a":[1,21,43,51,63,102],"sensor":[2,45],"network,":[3],"estimation":[4,24,40,77],"performance":[5,140],"may":[6],"degrade":[7],"when":[8],"unknown":[9],"correlations":[10],"among":[11],"local":[12,72,97],"estimates":[13,73,98],"are":[14,59],"not":[15],"addressed":[16],"carefully.":[17],"This":[18],"article":[19],"presents":[20],"novel":[22],"distributed":[23],"algorithm":[25,86],"based":[26],"on":[27],"inverse":[28],"covariance":[29],"intersection":[30],"(ICI)":[31],"for":[32],"effectively":[33],"solving":[34],"the":[35,76,80,84,92,107,110,115,139,142],"cross-correlation":[36],"and":[37,74,100,112,128],"dynamic":[38],"state":[39],"problems":[41],"in":[42,57,101,130],"wireless":[44],"network.":[46],"The":[47],"intermediate":[48],"results":[49],"of":[50,53,66,83,114,141],"set":[52],"consensus":[54],"filters":[55],"running":[56],"parallel":[58],"utilized":[60],"to":[61],"realize":[62],"global":[64,81],"fusion":[65,93],"estimates,":[67],"which":[68,124],"involves":[69],"all":[70,96],"agents'":[71],"improves":[75],"accuracy.":[78],"Meanwhile,":[79],"consistency":[82,113],"proposed":[85,143],"can":[87,118],"be":[88,119],"guaranteed":[89],"theoretically":[90],"since":[91],"process":[94],"considers":[95],"jointly":[99],"unified":[103],"way.":[104],"Furthermore,":[105],"besides":[106],"asymptotic":[108],"performance,":[109],"boundedness":[111],"fused":[116],"estimate":[117],"achieved":[120],"under":[121],"finite":[122],"iterations,":[123],"demonstrates":[125],"its":[126],"robustness":[127],"potential":[129],"practical":[131],"applications.":[132],"A":[133],"cooperative":[134],"target":[135],"tracking":[136],"problem":[137],"illustrates":[138],"algorithm.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}