A Neural Network Aided CKF Algorithm for SINS/GN Integrated Navigation System
A Neural Network Aided CKF Algorithm for SINS/GN Integrated Navigation System
- New search for: Yan, M. A.
- New search for: Mengyang, L. I.
- New search for: Yan, Liang
- New search for: Duan, Haibin
- New search for: Yu, Xiang
- New search for: Yan, M. A.
- New search for: Mengyang, L. I.
Geomagnetic aided navigation (GN) is a passive, autonomous, all-time navigation mode. SINS/GN can overcome the defect of the inertial navigation error which accumulated with the integral time. Aiming at the problem of inaccurate establishment of the geomagnetic field model due to the slow change of geomagnetic field, we proposed a neural network aided CKF algorithm by using the idea of state dimension expansion in this paper. The weights of neural network are trained on-line by CKF, and meanwhile, the system model is modified by neural network. Finally, simulation results show that the new algorithm has higher filtering precision than the basic CKF algorithm
Document information
A Neural Network Aided CKF Algorithm for SINS/GN Integrated Navigation System
Lect. Notes Electrical Eng.
2021-10-30
12 pages
Article/Chapter (Book)
Electronic Resource
English
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| Springer Verlag | 2021