{"id":"https://openalex.org/W3030830334","doi":"https://doi.org/10.1016/j.inffus.2020.05.006","title":"Distributed optimal linear fusion estimators","display_name":"Distributed optimal linear fusion estimators","publication_year":2020,"publication_date":"2020-05-25","ids":{"openalex":"https://openalex.org/W3030830334","doi":"https://doi.org/10.1016/j.inffus.2020.05.006","mag":"3030830334"},"language":"en","primary_location":{"id":"doi:10.1016/j.inffus.2020.05.006","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.inffus.2020.05.006","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","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/A5078241205","display_name":"Shuli Sun","orcid":"https://orcid.org/0000-0001-5325-3608"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shu-Li Sun","raw_affiliation_strings":["Department of Automation, School of Electronics Engineering, Heilongjiang University, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, School of Electronics Engineering, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078241205"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":{"value":4650,"currency":"USD","value_usd":4650},"apc_paid":null,"fwci":5.3044,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.96356208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"56","last_page":"73"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9865999817848206,"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":0.7163544297218323},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6983342170715332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6098126173019409},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6083189249038696},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5649068355560303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5246745944023132},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5081446170806885},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.46583810448646545},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4639778733253479},{"id":"https://openalex.org/keywords/diagonal-matrix","display_name":"Diagonal matrix","score":0.45217445492744446},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.43815261125564575},{"id":"https://openalex.org/keywords/optimal-estimation","display_name":"Optimal estimation","score":0.43172481656074524},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4292592704296112},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4235492944717407},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.4075624942779541},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4073564410209656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.324387788772583},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.2980392575263977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1758858859539032},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11680153012275696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08447524905204773}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7163544297218323},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6983342170715332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6098126173019409},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6083189249038696},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5649068355560303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5246745944023132},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5081446170806885},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.46583810448646545},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4639778733253479},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.45217445492744446},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.43815261125564575},{"id":"https://openalex.org/C39425265","wikidata":"https://www.wikidata.org/wiki/Q7098944","display_name":"Optimal estimation","level":2,"score":0.43172481656074524},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4292592704296112},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4235492944717407},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.4075624942779541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4073564410209656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.324387788772583},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.2980392575263977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1758858859539032},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11680153012275696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08447524905204773},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.inffus.2020.05.006","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.inffus.2020.05.006","pdf_url":null,"source":{"id":"https://openalex.org/S7560371","display_name":"Information Fusion","issn_l":"1566-2535","issn":["1566-2535","1872-6305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Fusion","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3166453267","display_name":null,"funder_award_id":"NSFC-61573132","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W405321894","https://openalex.org/W901288969","https://openalex.org/W1593391384","https://openalex.org/W1646967508","https://openalex.org/W1883385507","https://openalex.org/W1965705620","https://openalex.org/W1972670477","https://openalex.org/W2003397487","https://openalex.org/W2013348732","https://openalex.org/W2013697479","https://openalex.org/W2016152797","https://openalex.org/W2018142823","https://openalex.org/W2030935194","https://openalex.org/W2055762251","https://openalex.org/W2064183516","https://openalex.org/W2074946112","https://openalex.org/W2083081493","https://openalex.org/W2099319707","https://openalex.org/W2102842714","https://openalex.org/W2132734429","https://openalex.org/W2142315243","https://openalex.org/W2169329579","https://openalex.org/W2284937233","https://openalex.org/W2293807537","https://openalex.org/W2319185021","https://openalex.org/W2365251581","https://openalex.org/W2472973671","https://openalex.org/W2582126286","https://openalex.org/W2603428934","https://openalex.org/W2766930537","https://openalex.org/W2770259009","https://openalex.org/W2783631917","https://openalex.org/W2889167951","https://openalex.org/W2896590852","https://openalex.org/W2905309910","https://openalex.org/W2947222122","https://openalex.org/W2970971450","https://openalex.org/W6639581497"],"related_works":["https://openalex.org/W1978835430","https://openalex.org/W2352557028","https://openalex.org/W2358290753","https://openalex.org/W1480710136","https://openalex.org/W2365874565","https://openalex.org/W2354539599","https://openalex.org/W2005753291","https://openalex.org/W1982265746","https://openalex.org/W2974797780","https://openalex.org/W2391452484"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}