Robust Underwater Direction-of-Arrival Tracking Based on AI-Aided Variational Bayesian Extended Kalman Filter

Robust Underwater Direction-of-Arrival Tracking Based on AI-Aided Variational Bayesian Extended Kalman Filter

The AI-aided variational Bayesian extended Kalman filter (AI-VBEKF)-based robust direction-of-arrival (DOA) technique is proposed to make reliable estimations of the bearing angle of an uncooperative underwater target with uncertain environment noise. Considering that the large error of the guess of...

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Bibliographic Details
Main Authors: Xianghao Hou, Yueyi Qiao, Boxuan Zhang, Yixin Yang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
extended Kalman filter
robust tracking
underwater direction-of-arrival tracking
variational Bayesian
attention-based neural network
Online Access:https://www.mdpi.com/2072-4292/15/2/420

Internet

https://www.mdpi.com/2072-4292/15/2/420

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