{"id":"https://openalex.org/W2771311822","doi":"https://doi.org/10.1109/taes.2018.2882960","title":"Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion","display_name":"Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion","publication_year":2018,"publication_date":"2018-11-22","ids":{"openalex":"https://openalex.org/W2771311822","doi":"https://doi.org/10.1109/taes.2018.2882960","mag":"2771311822"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2018.2882960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2018.2882960","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.10783","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100728697","display_name":"Tiancheng Li","orcid":"https://orcid.org/0000-0002-0499-5135"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]}],"countries":["CN","ES"],"is_corresponding":true,"raw_author_name":"Tiancheng Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi\u2019an, China","University of Salamanca, Salamanca, Spain","Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"University of Salamanca, Salamanca, Spain","institution_ids":["https://openalex.org/I184999862"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070935465","display_name":"Juan M. Corchado","orcid":"https://orcid.org/0000-0002-2829-1829"},"institutions":[{"id":"https://openalex.org/I72375662","display_name":"Osaka Institute of Technology","ror":"https://ror.org/02znffm54","country_code":"JP","type":"education","lineage":["https://openalex.org/I72375662"]},{"id":"https://openalex.org/I184999862","display_name":"Universidad de Salamanca","ror":"https://ror.org/02f40zc51","country_code":"ES","type":"education","lineage":["https://openalex.org/I184999862"]}],"countries":["ES","JP"],"is_corresponding":false,"raw_author_name":"Juan M. Corchado","raw_affiliation_strings":["Osaka Institute of Technology, Osaka, Japan","University of Salamanca, Salamanca, Spain"],"affiliations":[{"raw_affiliation_string":"Osaka Institute of Technology, Osaka, Japan","institution_ids":["https://openalex.org/I72375662"]},{"raw_affiliation_string":"University of Salamanca, Salamanca, Spain","institution_ids":["https://openalex.org/I184999862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009753741","display_name":"Shudong Sun","orcid":"https://orcid.org/0000-0002-3903-8861"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shudong Sun","raw_affiliation_strings":["Northwestern Polytechnical University, Xian, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100728697"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I184999862"],"apc_list":null,"apc_paid":null,"fwci":9.1122,"has_fulltext":false,"cited_by_count":122,"citation_normalized_percentile":{"value":0.98191372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"55","issue":"5","first_page":"2150","last_page":"2163"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9322999715805054,"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","display_name":"Covariance","score":0.74830162525177},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.701698899269104},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5987006425857544},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5602150559425354},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49394136667251587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4892094135284424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4873005151748657},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4577336609363556},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45542898774147034},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4536834955215454},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3919208347797394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3404853940010071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28816497325897217},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.28346961736679077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1741580367088318},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.15158745646476746},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11499300599098206},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1148901879787445}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.74830162525177},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.701698899269104},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5987006425857544},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5602150559425354},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49394136667251587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4892094135284424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4873005151748657},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4577336609363556},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45542898774147034},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4536834955215454},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3919208347797394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3404853940010071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28816497325897217},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.28346961736679077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1741580367088318},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.15158745646476746},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11499300599098206},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1148901879787445},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2018.2882960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2018.2882960","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"},{"id":"pmh:oai:arXiv.org:1711.10783","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.10783","pdf_url":"https://arxiv.org/pdf/1711.10783","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.10783","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.10783","pdf_url":"https://arxiv.org/pdf/1711.10783","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5220000675","display_name":null,"funder_award_id":"51475383","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":95,"referenced_works":["https://openalex.org/W15483758","https://openalex.org/W34992941","https://openalex.org/W104537965","https://openalex.org/W217460636","https://openalex.org/W1482632304","https://openalex.org/W1557595030","https://openalex.org/W1571662278","https://openalex.org/W1653224645","https://openalex.org/W1768152053","https://openalex.org/W1828193979","https://openalex.org/W1976129504","https://openalex.org/W1994684794","https://openalex.org/W1997942227","https://openalex.org/W1999565686","https://openalex.org/W2006625858","https://openalex.org/W2009918934","https://openalex.org/W2013759415","https://openalex.org/W2014787937","https://openalex.org/W2022506481","https://openalex.org/W2024522552","https://openalex.org/W2025543203","https://openalex.org/W2029174713","https://openalex.org/W2031406117","https://openalex.org/W2045834636","https://openalex.org/W2046059763","https://openalex.org/W2050386482","https://openalex.org/W2053286025","https://openalex.org/W2073307200","https://openalex.org/W2074796812","https://openalex.org/W2078742450","https://openalex.org/W2087988339","https://openalex.org/W2091734247","https://openalex.org/W2095323263","https://openalex.org/W2098863504","https://openalex.org/W2106360727","https://openalex.org/W2122675750","https://openalex.org/W2126885789","https://openalex.org/W2127821072","https://openalex.org/W2135401627","https://openalex.org/W2136277139","https://openalex.org/W2137585588","https://openalex.org/W2140572036","https://openalex.org/W2141461755","https://openalex.org/W2142269063","https://openalex.org/W2144773393","https://openalex.org/W2144859729","https://openalex.org/W2146941066","https://openalex.org/W2147108768","https://openalex.org/W2148124601","https://openalex.org/W2148234182","https://openalex.org/W2149259182","https://openalex.org/W2153244858","https://openalex.org/W2159479384","https://openalex.org/W2160643434","https://openalex.org/W2162447868","https://openalex.org/W2170190949","https://openalex.org/W2307996398","https://openalex.org/W2398058914","https://openalex.org/W2480066572","https://openalex.org/W2501236262","https://openalex.org/W2507465479","https://openalex.org/W2511568459","https://openalex.org/W2549522654","https://openalex.org/W2567233944","https://openalex.org/W2588209989","https://openalex.org/W2596774547","https://openalex.org/W2607144163","https://openalex.org/W2698965797","https://openalex.org/W2743694142","https://openalex.org/W2744447275","https://openalex.org/W2761761724","https://openalex.org/W2762588164","https://openalex.org/W2766193290","https://openalex.org/W2779066943","https://openalex.org/W2788529152","https://openalex.org/W2794860015","https://openalex.org/W2802240763","https://openalex.org/W2898521547","https://openalex.org/W2901074943","https://openalex.org/W2955576112","https://openalex.org/W2963157432","https://openalex.org/W2964136933","https://openalex.org/W4238850922","https://openalex.org/W4249489015","https://openalex.org/W4250134109","https://openalex.org/W4285719527","https://openalex.org/W6604239174","https://openalex.org/W6608734034","https://openalex.org/W6633511732","https://openalex.org/W6652113595","https://openalex.org/W6680870114","https://openalex.org/W6681348057","https://openalex.org/W6681929560","https://openalex.org/W6698148626","https://openalex.org/W6746923825"],"related_works":["https://openalex.org/W2718384077","https://openalex.org/W1597192237","https://openalex.org/W2369680611","https://openalex.org/W2022823194","https://openalex.org/W2045728981","https://openalex.org/W2543883930","https://openalex.org/W2317323511","https://openalex.org/W1532932657","https://openalex.org/W2395573186","https://openalex.org/W1489099099"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,19,125],"novel":[3],"consensus":[4],"notion,":[5],"called":[6],"\u201cpartial":[7],"consensus,\u201d":[8],"for":[9,73,97],"distributed":[10],"Gaussian":[11,28],"mixture":[12,68],"probability":[13],"hypothesis":[14],"density":[15],"fusion":[16,53],"based":[17,87,123],"on":[18,88,124],"decentralized":[20],"sensor":[21,126],"network,":[22],"in":[23,48],"which":[24],"only":[25,44],"highly":[26],"weighted":[27],"components":[29],"(GCs)":[30],"are":[31,71],"exchanged":[32],"and":[33,52,63,91,117,132],"fused":[34],"across":[35],"neighbor":[36],"sensors.":[37],"It":[38],"is":[39,79,120],"shown":[40],"that":[41],"this":[42],"not":[43],"gains":[45],"high":[46],"efficiency":[47],"both":[49,130],"network":[50,127],"communication":[51],"computation,":[54],"but":[55],"also":[56],"significantly":[57],"compensates":[58],"the":[59,75,92,107,110,137,143],"effects":[60],"of":[61,106,129,139],"clutter":[62],"missed":[64],"detections.":[65],"Two":[66],"\u201cconservative\u201d":[67],"reduction":[69],"schemes":[70],"devised":[72],"refining":[74],"combined":[76],"GCs.":[77],"One":[78],"given":[80],"by":[81],"pairwise":[82],"averaging":[83],"GCs":[84,96],"between":[85],"sensors":[86],"Hungarian":[89],"assignment":[90],"other":[93],"merges":[94],"close":[95,104],"trace":[98],"minimal,":[99],"yet,":[100],"conservative":[101],"covariance.":[102],"The":[103],"connection":[105],"result":[108],"to":[109],"two":[111],"approaches,":[112],"known":[113],"as":[114],"covariance":[115,145],"union":[116],"arithmetic":[118],"averaging,":[119],"unveiled.":[121],"Simulations":[122],"consisting":[128],"linear":[131],"nonlinear":[133],"sensors,":[134],"have":[135],"demonstrated":[136],"advantage":[138],"our":[140],"approaches":[141],"over":[142],"generalized":[144],"intersection":[146],"approach.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2017-12-22T00:00:00"}