Performance Enhancement of Robust Cubature Kalman Filter for GNSS/INS Based on Gaussian Process Quadrature

Performance Enhancement of Robust Cubature Kalman Filter for GNSS/INS Based on Gaussian Process Quadrature

The sigma-point Kalman filters are generally considered to outperform extended Kalman filter in the application of GNSS/INS, where cubature Kalman filter (CKF) is widely approved because of its rigorous mathematic derivation. In order to improve the robustness of GNSS/INS under GNSS-challenged envir...

Full description

Bibliographic Details
Main Authors: Bingbo Cui, Xinhua Wei, Xiyuan Chen, Aichen Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Land vehicle navigation
sigma-point Kalman filter
Gaussian process quadrature
sigma points transform
Online Access:https://ieeexplore.ieee.org/document/8978732/

Internet

https://ieeexplore.ieee.org/document/8978732/

Similar Items