Enhanced Redundant Measurement-Based Kalman Filter for Measurement Noise Covariance Estimation in INS/GNSS Integration

Adaptive Kalman filters (AKF) have been widely applied to the inertial navigation system (INS)/global navigation satellite system (GNSS) integrated navigation system. However, the traditional AKF methods suffer from the problems of filtering instability or covariance underestimation, especially when...

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Bibliographic Details
Main Authors: Baoshuang Ge, Hai Zhang, Wenxing Fu, Jianbing Yang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/21/3500