RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles

RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles

Kalman filter is a commonly used method in the Global Navigation Satellite System (GNSS) /Inertial Navigation System (INS) integrated navigation system, in which the process noise covariance matrix has a significant influence on the positioning accuracy and sometimes even causes the filter to diverg...

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Bibliographic Details
Main Authors: Xile Gao, Haiyong Luo, Bokun Ning, Fang Zhao, Linfeng Bao, Yilin Gong, Yimin Xiao, Jinguang Jiang
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
integrated navigation
Kalman filter
process noise covariance estimation
reinforcement learning
deep deterministic policy gradient
Online Access:https://www.mdpi.com/2072-4292/12/11/1704

Internet

https://www.mdpi.com/2072-4292/12/11/1704

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