An Enhanced Adaptive Ensemble Kalman Filter for Autonomous Underwater Vehicle Integrated Navigation

An Enhanced Adaptive Ensemble Kalman Filter for Autonomous Underwater Vehicle Integrated Navigation

Autonomous Underwater Vehicles (AUVs) rely on integrated navigation systems and corresponding filtering algorithms to ensure mission success and the spatiotemporal accuracy of sampled data. Among these, the ensemble Kalman filter (EnKF) combines Monte Carlo methods with the Kalman filter, which is p...

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Bibliographic Details
Main Authors: Zeming Liang, Shuangshuang Fan, Jiacheng Feng, Peng Yuan, Jiangjiang Xu, Xinling Wang, Dongxiao Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Drones
Subjects:
autonomous underwater vehicles (AUVs)
integrated navigation system
ensemble Kalman filter (EnKF)
Laplace distribution
adaptive mechanism
Online Access:https://www.mdpi.com/2504-446X/8/12/711

Internet

https://www.mdpi.com/2504-446X/8/12/711

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