A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization

In the complex underwater environment, it is hard to obtain accurate system noise prior information. If uncertainty system noise model is used in state determination, the precision will decrease. To address the problem, this paper proposes a novel inverse-Wishart (IW) based variational Bayesian adap...

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書誌詳細

出版年:	Sensors
主要な著者:	Haoqian Huang, Chenhui Dong, Yutong Zhang, Shuang Zhang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-06-01
主題:	Kalman filter inverse-Wishart distribution non-Gaussian noise variational Bayesian underwater vehicle
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/12/3708