{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:51:59Z","timestamp":1778799119946,"version":"3.51.4"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013088","name":"Qinglan Project of Jiangsu Province of China","doi-asserted-by":"publisher","award":["R2023Q07"],"award-info":[{"award-number":["R2023Q07"]}],"id":[{"id":"10.13039\/501100013088","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62033010"],"award-info":[{"award-number":["62033010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2061"],"award-info":[{"award-number":["U23B2061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1016\/j.inffus.2024.102704","type":"journal-article","created":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T17:06:31Z","timestamp":1730826391000},"page":"102704","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Credibility-based multi-sensor fusion for non-Gaussian conversion error mitigation"],"prefix":"10.1016","volume":"115","author":[{"given":"Quanbo","family":"Ge","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3868-8020","authenticated-orcid":false,"given":"Kai","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Zhongyuan","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2024.102704_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.apor.2021.102562","article-title":"A new multi-sensor hierarchical data fusion algorithm based on unscented Kalman filter for the attitude observation of the wave glider","volume":"109","author":"Liu","year":"2021","journal-title":"Appl. Ocean Res.","ISSN":"https:\/\/id.crossref.org\/issn\/0141-1187","issn-type":"print"},{"issue":"2","key":"10.1016\/j.inffus.2024.102704_b2","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1080\/20464177.2022.2031558","article-title":"Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation","volume":"22","author":"Liu","year":"2023","journal-title":"J. Marine Eng. Technol."},{"issue":"11","key":"10.1016\/j.inffus.2024.102704_b3","doi-asserted-by":"crossref","first-page":"4233","DOI":"10.1109\/TSMC.2018.2846602","article-title":"Target following and close monitoring using an unmanned surface vehicle","volume":"50","author":"Kim","year":"2020","journal-title":"IEEE Transactions on Systems Man Cybernetics-Systems","ISSN":"https:\/\/id.crossref.org\/issn\/2168-2216","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2022.111630","article-title":"A new multi-sensor fusion approach for integrated ship motion perception in inland waterways","volume":"200","author":"Wu","year":"2022","journal-title":"Measurement","ISSN":"https:\/\/id.crossref.org\/issn\/0263-2241","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.apor.2020.102441","article-title":"A practical INS\/GPS\/DVL\/PS integrated navigation algorithm and its application on autonomous underwater vehicle","volume":"106","author":"Mu","year":"2021","journal-title":"Appl. Ocean Res.","ISSN":"https:\/\/id.crossref.org\/issn\/0141-1187","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b6","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.automatica.2016.09.009","article-title":"Stochastic link activation for distributed filtering under sensor power constraint","volume":"75","author":"Yang","year":"2017","journal-title":"Automatica","ISSN":"https:\/\/id.crossref.org\/issn\/0005-1098","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b7","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1007\/s11432-011-4538-7","article-title":"Globally optimal distributed Kalman filtering fusion","volume":"55","author":"Shen","year":"2012","journal-title":"Sci. China Inf. Sci."},{"key":"10.1016\/j.inffus.2024.102704_b8","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1109\/TSP.2022.3155885","article-title":"Multi-agent fusion with different limited fields-of-view","volume":"70","author":"Wang","year":"2022","journal-title":"IEEE Trans. Signal Process."},{"issue":"9","key":"10.1016\/j.inffus.2024.102704_b9","doi-asserted-by":"crossref","DOI":"10.3390\/s18092976","article-title":"Globally optimal distributed Kalman filtering for multisensor systems with unknown inputs","volume":"18","author":"Ruan","year":"2018","journal-title":"Sensors","ISSN":"https:\/\/id.crossref.org\/issn\/1424-8220","issn-type":"print"},{"issue":"19","key":"10.1016\/j.inffus.2024.102704_b10","doi-asserted-by":"crossref","first-page":"19414","DOI":"10.1109\/JIOT.2022.3165818","article-title":"Uncertainty-constrained belief propagation for cooperative target tracking","volume":"9","author":"Xu","year":"2022","journal-title":"IEEE Internet Things J.","ISSN":"https:\/\/id.crossref.org\/issn\/2327-4662","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b11","doi-asserted-by":"crossref","DOI":"10.1109\/TIM.2021.3051999","article-title":"Multisensor fusion using fuzzy inference system for a visual-IMU-wheel odometry","volume":"70","author":"Zhu","year":"2021","journal-title":"IEEE Trans. Instrum. Meas.","ISSN":"https:\/\/id.crossref.org\/issn\/0018-9456","issn-type":"print"},{"issue":"1","key":"10.1016\/j.inffus.2024.102704_b12","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/TCST.2022.3180942","article-title":"Resilient unscented Kalman filtering fusion with dynamic event-triggered scheme: Applications to multiple unmanned aerial vehicles","volume":"31","author":"Li","year":"2023","journal-title":"IEEE Trans. Control Syst. Technol.","ISSN":"https:\/\/id.crossref.org\/issn\/1063-6536","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101827","article-title":"Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches","volume":"98","author":"Li","year":"2023","journal-title":"Inf. Fusion","ISSN":"https:\/\/id.crossref.org\/issn\/1566-2535","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b14","first-page":"1","article-title":"Robust unscented Kalman filter-based decentralized multisensor information fusion for INS\/GNSS\/CNS integration in hypersonic vehicle navigation","volume":"72","author":"Hu","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.inffus.2024.102704_b15","series-title":"Advanced Electrical and Electronics Engineering: Volume 2","first-page":"437","article-title":"Covariance intersection fusion Kalman filter","author":"Zhang","year":"2011"},{"key":"10.1016\/j.inffus.2024.102704_b16","series-title":"Advanced Manufacturing and Automation X 10","first-page":"496","article-title":"Optimal and self-correcting covariance intersection fusion Kalman filters","author":"Zhang","year":"2021"},{"key":"10.1016\/j.inffus.2024.102704_b17","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.sigpro.2019.02.030","article-title":"A distributed maximum correntropy Kalman filter","volume":"160","author":"Wang","year":"2019","journal-title":"Signal Process.","ISSN":"https:\/\/id.crossref.org\/issn\/0165-1684","issn-type":"print"},{"issue":"9","key":"10.1016\/j.inffus.2024.102704_b18","doi-asserted-by":"crossref","first-page":"4908","DOI":"10.1109\/TAC.2022.3169956","article-title":"Distributed Kalman filtering through trace proximity","volume":"67","author":"Liu","year":"2022","journal-title":"IEEE Trans. Autom. Control"},{"key":"10.1016\/j.inffus.2024.102704_b19","doi-asserted-by":"crossref","first-page":"3074","DOI":"10.1109\/TSP.2022.3182590","article-title":"Privacy-preserving distributed Kalman filtering","volume":"70","author":"Moradi","year":"2022","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.inffus.2024.102704_b20","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1016\/j.inffus.2022.11.016","article-title":"Distributed minimum error entropy Kalman filter","volume":"91","author":"Feng","year":"2023","journal-title":"Inf. Fusion","ISSN":"https:\/\/id.crossref.org\/issn\/1566-2535","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2024.109438","article-title":"An improved two-phase robust distributed Kalman filter","volume":"220","author":"Luo","year":"2024","journal-title":"Signal Process.","ISSN":"https:\/\/id.crossref.org\/issn\/0165-1684","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b22","article-title":"Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non-Gaussian environment","author":"Liu","year":"2024","journal-title":"Asian J. Control"},{"issue":"15","key":"10.1016\/j.inffus.2024.102704_b23","doi-asserted-by":"crossref","first-page":"8762","DOI":"10.3390\/app13158762","article-title":"Maximum correntropy square-root Cubature Kalman filter with state estimation for distributed drive electric vehicles","volume":"13","author":"Ge","year":"2023","journal-title":"Appl. Sci."},{"key":"10.1016\/j.inffus.2024.102704_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2023.104173","article-title":"Robust information filtering for distributed networks using mixed Gaussian distribution","volume":"141","author":"Zhu","year":"2023","journal-title":"Digit. Signal Process.","ISSN":"https:\/\/id.crossref.org\/issn\/1051-2004","issn-type":"print"},{"issue":"08","key":"10.1016\/j.inffus.2024.102704_b25","doi-asserted-by":"crossref","first-page":"P08013","DOI":"10.1088\/1748-0221\/18\/08\/P08013","article-title":"A Gaussian multi-scale mixture model-based outlier-robust Kalman filter","volume":"18","author":"Huang","year":"2023","journal-title":"J. Instrum."},{"issue":"2","key":"10.1016\/j.inffus.2024.102704_b26","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/7.78311","article-title":"Centralized and distributed multisensor integration with uncertainties in communication networks","volume":"27","author":"Hong","year":"1991","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"47","key":"10.1016\/j.inffus.2024.102704_b27","doi-asserted-by":"crossref","first-page":"17110","DOI":"10.1021\/acs.iecr.1c02804","article-title":"Constrained abridged Gaussian sum extended Kalman filter: Constrained nonlinear systems with non-Gaussian noises and uncertainties","volume":"60","author":"Valipour","year":"2021","journal-title":"Ind. Eng. Chem. Res.","ISSN":"https:\/\/id.crossref.org\/issn\/0888-5885","issn-type":"print"},{"issue":"8","key":"10.1016\/j.inffus.2024.102704_b28","first-page":"1972","article-title":"Estimation of robot motion state based on improved Gaussian mixture model","volume":"48","author":"Quan Bo","year":"2022","journal-title":"Acta Automat. Sinica"},{"issue":"2","key":"10.1016\/j.inffus.2024.102704_b29","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6501\/aca172","article-title":"A novel maximum correntropy adaptive extended Kalman filter for vehicle state estimation under non-Gaussian noise","volume":"34","author":"Qi","year":"2023","journal-title":"Meas. Sci. Technol.","ISSN":"https:\/\/id.crossref.org\/issn\/0957-0233","issn-type":"print"},{"key":"10.1016\/j.inffus.2024.102704_b30","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.automatica.2016.10.004","article-title":"Maximum correntropy Kalman filter","volume":"76","author":"Chen","year":"2017","journal-title":"Automatica"},{"issue":"3","key":"10.1016\/j.inffus.2024.102704_b31","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1049\/ccs2.12049","article-title":"Aircraft trajectory filtering method based on Gaussian-sum and maximum correntropy square-root cubature Kalman filter","volume":"4","author":"Bai","year":"2022","journal-title":"Cogn. Comput. Syst."},{"issue":"4","key":"10.1016\/j.inffus.2024.102704_b32","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1049\/iet-cta.2018.5064","article-title":"Recursive performance ranking of Kalman filter with mismatched noise covariances","volume":"13","author":"Shao","year":"2019","journal-title":"IET Control Theory Appl."},{"issue":"1","key":"10.1016\/j.inffus.2024.102704_b33","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1109\/JAS.2023.123012","article-title":"A novel adaptive Kalman filter based on credibility measure","volume":"10","author":"Ge","year":"2023","journal-title":"IEEE\/CAA J. Autom. Sin."},{"key":"10.1016\/j.inffus.2024.102704_b34","doi-asserted-by":"crossref","DOI":"10.1016\/j.automatica.2023.111022","article-title":"On consistency and stability of distributed Kalman filter under mismatched noise covariance and uncertain dynamics","volume":"153","author":"Liang","year":"2023","journal-title":"Automatica"},{"issue":"7","key":"10.1016\/j.inffus.2024.102704_b35","doi-asserted-by":"crossref","first-page":"6238","DOI":"10.1109\/TIE.2020.2994874","article-title":"Distributed Kalman filter for large-scale power systems with state inequality constraints","volume":"68","author":"Cheng","year":"2020","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"18","key":"10.1016\/j.inffus.2024.102704_b36","doi-asserted-by":"crossref","first-page":"7865","DOI":"10.3390\/s23187865","article-title":"Research on the cooperative target state estimation and tracking optimization method of multi-UUV","volume":"23","author":"Chen","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.inffus.2024.102704_b37","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.isatra.2021.12.014","article-title":"Distributed multi-UAV cooperation for dynamic target tracking optimized by an SAQPSO algorithm","volume":"129","author":"Li","year":"2022","journal-title":"ISA Trans."},{"issue":"4","key":"10.1016\/j.inffus.2024.102704_b38","doi-asserted-by":"crossref","first-page":"4228","DOI":"10.1109\/JSEN.2022.3233700","article-title":"Total variation-based distributed Kalman filtering for resiliency against Byzantines","volume":"23","author":"Moradi","year":"2023","journal-title":"IEEE Sens. J."},{"key":"10.1016\/j.inffus.2024.102704_b39","series-title":"2018 IEEMA Engineer Infinite Conference (ETechNxT)","first-page":"1","article-title":"Power quality enhancement in a distribution network using PSO assisted Kalman filter \u2014 Based shunt active power filter","author":"Prince","year":"2018"},{"key":"10.1016\/j.inffus.2024.102704_b40","series-title":"2015 International Conference on Communication, Information & Computing Technology","first-page":"1","article-title":"Enhanced mechanism for localization in wireless sensor networks using PSO assisted extended Kalman filter algorithm (PSO-ekf)","author":"Janapati","year":"2015"},{"issue":"6","key":"10.1016\/j.inffus.2024.102704_b41","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1109\/TAC.2009.2019800","article-title":"Cubature Kalman filters","volume":"54","author":"Arasaratnam","year":"2009","journal-title":"IEEE Trans. Autom. Control"},{"issue":"1","key":"10.1016\/j.inffus.2024.102704_b42","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/6699797","article-title":"Optimization design of wind turbine blade based on an improved particle swarm optimization algorithm combined with non-Gaussian distribution","volume":"2021","author":"Sun","year":"2021","journal-title":"Adv. Civil Eng."},{"key":"10.1016\/j.inffus.2024.102704_b43","series-title":"Springer Handbook of Engineering Statistics","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1007\/978-1-4471-7503-2_33","article-title":"Genetic algorithms and their applications","author":"Gen","year":"2023"},{"issue":"5","key":"10.1016\/j.inffus.2024.102704_b44","doi-asserted-by":"crossref","first-page":"3831","DOI":"10.1016\/j.aej.2021.09.013","article-title":"Differential evolution: A recent review based on state-of-the-art works","volume":"61","author":"Ahmad","year":"2022","journal-title":"Alex. Eng. J."},{"issue":"11","key":"10.1016\/j.inffus.2024.102704_b45","first-page":"4097","article-title":"A review on artificial bee colony and it\u2019s engineering applications","volume":"7","author":"Sharma","year":"2020","journal-title":"J. Critical Rev."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253524004822?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253524004822?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T03:05:03Z","timestamp":1732676703000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253524004822"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":45,"alternative-id":["S1566253524004822"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2024.102704","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2025,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Credibility-based multi-sensor fusion for non-Gaussian conversion error mitigation","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2024.102704","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102704"}}