{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:08:17Z","timestamp":1784203697276,"version":"3.55.0"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neucom.2026.134126","type":"journal-article","created":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T00:03:50Z","timestamp":1780013030000},"page":"134126","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A robust Bayesian algorithm applied to heavy-tailed and skewed measurement noise for underwater target tracking"],"prefix":"10.1016","volume":"696","author":[{"given":"Chaofeng","family":"Lan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1503-6705","authenticated-orcid":false,"given":"Huan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jintao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinghan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingqi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"17","key":"10.1016\/j.neucom.2026.134126_bib0005","doi-asserted-by":"crossref","first-page":"18926","DOI":"10.1109\/JSEN.2023.3292427","article-title":"A review of small UAV navigation system based on multisource sensor fusion","volume":"23","author":"Ye","year":"2023","journal-title":"IEEE Sens. J."},{"issue":"7","key":"10.1016\/j.neucom.2026.134126_bib0010","doi-asserted-by":"crossref","first-page":"3871","DOI":"10.1109\/TIV.2023.3271624","article-title":"Multi-modal sensor fusion and object tracking for autonomous racing","volume":"8","author":"Karle","year":"2023","journal-title":"IEEE Trans. Intell. Veh."},{"issue":"12","key":"10.1016\/j.neucom.2026.134126_bib0015","doi-asserted-by":"crossref","first-page":"13037","DOI":"10.1109\/JSEN.2023.3252019","article-title":"Weight factor graph co-location method for UAV formation based on navigation performance evaluation","volume":"23","author":"Zhu","year":"2023","journal-title":"IEEE Sens. J."},{"issue":"80","key":"10.1016\/j.neucom.2026.134126_bib0020","doi-asserted-by":"crossref","DOI":"10.1126\/scirobotics.ade7811","article-title":"Dynamic robotic tracking of underwater targets using reinforcement learning","volume":"8","author":"Masmitja","year":"2023","journal-title":"Sci. Robot."},{"issue":"7","key":"10.1016\/j.neucom.2026.134126_bib0025","doi-asserted-by":"crossref","first-page":"8187","DOI":"10.1109\/TCSVT.2025.3544750","article-title":"Adaptive trajectory correction for underwater object tracking","volume":"35","author":"Luo","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2026.134126_bib0030","article-title":"A maritime multi-target tracking method with non-Gaussian measurement noises based on joint probabilistic data association","volume":"74","author":"Chen","year":"2025","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.neucom.2026.134126_bib0035","article-title":"DOA estimation for underwater acoustic array in impulsive noise based on adaptive Kernel width mixture correntropy","volume":"63","author":"Dai","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"7","key":"10.1016\/j.neucom.2026.134126_bib0040","first-page":"2455","article-title":"Fully distributed fixed-time control of cross-domain swarm robots for non-cooperative target tracking","volume":"70","author":"Dong","year":"2023","journal-title":"IEEE Transactions on Circuits and Systems II: Express Briefs"},{"issue":"4","key":"10.1016\/j.neucom.2026.134126_bib0045","article-title":"Non-cooperative target recognition and relative motion estimation with inertial measurement unit assistance","volume":"38","author":"Xiangtian","year":"2025","journal-title":"Chin. J. Aeronaut."},{"issue":"92","key":"10.1016\/j.neucom.2026.134126_bib0050","doi-asserted-by":"crossref","DOI":"10.1126\/scirobotics.adk0310","article-title":"Visual route following for tiny autonomous robots","volume":"9","author":"van Dijk","year":"2024","journal-title":"Sci. Robot."},{"key":"10.1016\/j.neucom.2026.134126_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2024.111836","article-title":"Joint Bayesian estimation of process and measurement noise statistics in nonlinear Kalman filtering","volume":"223","author":"Bilgin","year":"2025","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0060","article-title":"A novel heavy-tailed Kalman filter based on normal-exponential-gamma distribution","author":"Jiang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. II: Express Br."},{"key":"10.1016\/j.neucom.2026.134126_bib0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2025.110010","article-title":"A clustering variational Bayesian Kalman filter with heavy-tailed measurement noise","volume":"234","author":"Wang","year":"2025","journal-title":"Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0070","article-title":"Robust EKF based on shape parameter mixture distribution for wireless localization with time-varying skewness measurement noise","volume":"74","author":"Wang","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.neucom.2026.134126_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2024.109787","article-title":"A novel Gaussian-Student\u2019s t-Skew mixture distribution based Kalman filter","volume":"230","author":"Zou","year":"2025","journal-title":"Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0080","doi-asserted-by":"crossref","DOI":"10.1109\/TIM.2025.3548225","article-title":"Robust recursive identification of time-delay systems with skewed measurement noise","volume":"74","author":"Qian","year":"2025","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.neucom.2026.134126_bib0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2025.117035","article-title":"Adaptive square-root extended cubature Kalman filter based on Huber M-estimation for multi-AUV cooperative navigation","volume":"249","author":"Wang","year":"2025","journal-title":"Measurement"},{"key":"10.1016\/j.neucom.2026.134126_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.127634","article-title":"Cubature particle filtering fusion with descent gradient and maximum correntropy for non-Gaussian noise","volume":"592","author":"Ge","year":"2024","journal-title":"Neurocomputing"},{"issue":"6","key":"10.1016\/j.neucom.2026.134126_bib0095","first-page":"3246","article-title":"Maximum correntropy Kalman filter for linear discrete-time systems with intermittent observations and non-Gaussian noise","volume":"71","author":"Song","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems II: Express Briefs"},{"issue":"13","key":"10.1016\/j.neucom.2026.134126_bib0100","doi-asserted-by":"crossref","first-page":"3606","DOI":"10.1109\/TSP.2019.2916755","article-title":"A novel robust Gaussian\u2013Student\u2019s t mixture distribution based Kalman filter","volume":"67","author":"Huang","year":"2019","journal-title":"IEEE Trans. Signal Process."},{"issue":"7","key":"10.1016\/j.neucom.2026.134126_bib0105","doi-asserted-by":"crossref","first-page":"3455","DOI":"10.1109\/TCYB.2019.2947622","article-title":"Semisupervised Bayesian Gaussian mixture models for non-Gaussian soft sensor","volume":"51","author":"Shao","year":"2019","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2026.134126_bib0110","doi-asserted-by":"crossref","first-page":"3578","DOI":"10.1109\/TSP.2024.3426965","article-title":"Robust Gaussian mixture modeling: a K-divergence based approach","volume":"72","author":"Kenig","year":"2024","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0115","author":"Zhou"},{"issue":"5","key":"10.1016\/j.neucom.2026.134126_bib0120","doi-asserted-by":"crossref","first-page":"3671","DOI":"10.1109\/TII.2020.3015001","article-title":"A novel heavy-tailed mixture distribution based robust Kalman filter for cooperative localization","volume":"17","author":"Bai","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.neucom.2026.134126_bib0125","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1109\/TSP.2023.3256041","article-title":"Robust cubature Kalman filter with Gaussian-multivariate Laplacian mixture distribution and partial variational Bayesian method","volume":"71","author":"Fu","year":"2023","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2023.109306","article-title":"An adaptive outlier-robust Kalman filter based on sliding window and Pearson type VII distribution modeling","volume":"216","author":"Wang","year":"2024","journal-title":"Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0135","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.knosys.2015.12.008","article-title":"A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter","volume":"95","author":"Zhang","year":"2016","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134126_bib0140","article-title":"Multimodal remote sensing data classification based on Gaussian mixture variational dynamic fusion network","volume":"62","author":"Wang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"11","key":"10.1016\/j.neucom.2026.134126_bib0145","doi-asserted-by":"crossref","first-page":"4793","DOI":"10.1109\/TAC.2019.2959998","article-title":"An adaptive Gaussian sum Kalman filter based on a partial variational Bayesian method","volume":"65","author":"Xu","year":"2019","journal-title":"IEEE Trans. Autom. Control"},{"issue":"5","key":"10.1016\/j.neucom.2026.134126_bib0150","doi-asserted-by":"crossref","first-page":"7481","DOI":"10.1109\/TII.2024.3360478","article-title":"A Gaussian mixture unscented Rauch\u2013Tung\u2013Striebel smoothing framework for trajectory reconstruction","volume":"20","author":"He","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.neucom.2026.134126_bib0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.automatica.2025.112360","article-title":"A non-linear non-Gaussian filtering framework based on the Gaussian noise model jump assumption","volume":"178","author":"He","year":"2025","journal-title":"Automatica"},{"key":"10.1016\/j.neucom.2026.134126_bib0160","doi-asserted-by":"crossref","first-page":"2405","DOI":"10.1109\/LSP.2024.3453189","article-title":"Reconstructed variational Bayesian Kalman filter under heavy-tailed and skewed noises","volume":"31","author":"Wang","year":"2024","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.neucom.2026.134126_bib0165","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TSP.2024.3479723","article-title":"Gaussian-Cauchy mixture Kernel function based maximum correntropy Kalman filter for linear non-Gaussian systems","volume":"73","author":"Ge","year":"2024","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"10.1016\/j.neucom.2026.134126_bib0170","doi-asserted-by":"crossref","first-page":"3644","DOI":"10.1109\/TIV.2024.3352171","article-title":"Real-time high-precision nonlinear tracking control of autonomous vehicles using fast iterative model predictive control","volume":"9","author":"Meng","year":"2024","journal-title":"IEEE Trans. Intell. Veh."},{"key":"10.1016\/j.neucom.2026.134126_bib0175","article-title":"Gaussian mixture model based variational Bayesian approach for extended target tracking","volume":"74","author":"Liu","year":"2025","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"2","key":"10.1016\/j.neucom.2026.134126_bib0180","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/78.978374","article-title":"A tutorial on particle filters for online nonlinear\/non-Gaussian Bayesian tracking","volume":"50","author":"Arulampalam","year":"2002","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.neucom.2026.134126_bib0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2024.109574","article-title":"Robust Kalman filters based on the sub-Gaussian \u03b1-stable distribution","volume":"224","author":"Hao","year":"2024","journal-title":"Signal Process."},{"issue":"24","key":"10.1016\/j.neucom.2026.134126_bib0190","doi-asserted-by":"crossref","first-page":"14994","DOI":"10.1109\/JSEN.2020.3012153","article-title":"A novel mixture distributions-based robust Kalman filter for cooperative localization","volume":"20","author":"Bai","year":"2020","journal-title":"IEEE Sens. J."},{"key":"10.1016\/j.neucom.2026.134126_bib0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110846","article-title":"Unsupervised outlier detection using random subspace and subsampling ensembles of Dirichlet process mixtures","volume":"156","author":"Kim","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.134126_bib0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2023.104201","article-title":"Multi-Normal-Inverse Wishart mixture distribution based nonlinear filter with applications","volume":"142","author":"Hua","year":"2023","journal-title":"Digit. Signal Process."},{"issue":"19","key":"10.1016\/j.neucom.2026.134126_bib0205","doi-asserted-by":"crossref","first-page":"30742","DOI":"10.1109\/JIOT.2024.3414501","article-title":"FL-EKF based cooperative localization method for multi-AUVs","volume":"11","author":"Zhao","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"10.1016\/j.neucom.2026.134126_bib0210","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/TAES.2019.2914520","article-title":"Robust Rauch-Tung-Striebel smoothing framework for heavy-tailed and\/or skew noises","volume":"56","author":"Huang","year":"2019","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"10.1016\/j.neucom.2026.134126_bib0215","series-title":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"3548","article-title":"Impulsive interference mitigation in ad hoc networks based on alpha-stable modeling and particle filtering","author":"Jaoua","year":"2011"},{"issue":"3","key":"10.1016\/j.neucom.2026.134126_bib0220","doi-asserted-by":"crossref","first-page":"439","DOI":"10.2991\/jsta.2018.17.3.4","article-title":"Parameter estimation using the em algorithm for symmetric stable random variables and sub-Gaussian random vectors","volume":"17","author":"Teimouri","year":"2018","journal-title":"J. Stat. Theory Appl."},{"key":"10.1016\/j.neucom.2026.134126_bib0225","article-title":"A maneuvering extended target tracking IMM algorithm based on second order EKF","volume":"73","author":"Wang","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.neucom.2026.134126_bib0230","series-title":"2023 IEEE International Conference on Unmanned Systems (ICUS)","first-page":"335","article-title":"A novel Bayesian Kalman filter under non-Gaussian noise for underwater integrated navigation","author":"Huang","year":"2023"},{"issue":"1","key":"10.1016\/j.neucom.2026.134126_bib0235","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1007\/s11831-022-09815-7","article-title":"A review on Kalman filter models","volume":"30","author":"Khodarahmi","year":"2023","journal-title":"Arch. Comput. Methods Eng."},{"key":"10.1016\/j.neucom.2026.134126_bib0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2022.112890","article-title":"A modified adaptive Kalman filtering method for maneuvering target tracking of unmanned surface vehicles","volume":"266","author":"Fan","year":"2022","journal-title":"Ocean Eng."},{"issue":"18","key":"10.1016\/j.neucom.2026.134126_bib0245","doi-asserted-by":"crossref","first-page":"3788","DOI":"10.3390\/electronics12183788","article-title":"Underwater AUV navigation dataset in natural scenarios","volume":"12","author":"Wang","year":"2023","journal-title":"Electronics"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226015249?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226015249?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:46:11Z","timestamp":1784202371000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226015249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":49,"alternative-id":["S0925231226015249"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134126","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A robust Bayesian algorithm applied to heavy-tailed and skewed measurement noise for underwater target tracking","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134126","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"134126"}}