Gaussian process regression-based quaternion unscented Kalman robust filter for integrated SINS/GNSS

Author:

Lyu Xu1,Hu Baiqing1,Dai Yongbin2,Sun Mingfang3,Liu Yi1,Gao Duanyang1

Affiliation:

1. College of Electrical Engineering, Naval University of Engineering,Wuhan,China,430033

2. School of Electrical Engineering, Liaoning University of Technology,Jinzhou,China,121001

3. School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China,150001

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on fusion navigation framework and algorithm based on fully-connected neural network;Measurement Science and Technology;2024-07-01

2. A Dual Adaptive Unscented Kalman Filter Algorithm for SINS-Based Integrated Navigation System;Journal of Systems Engineering and Electronics;2024-06

3. An IMU Error Correction Method Based on Multithreshold ZV Detection and SRCKF;2023 International Conference on Cyber-Physical Social Intelligence (ICCSI);2023-10-20

4. Research on the Algorithm of Combined GNSS/SINS Navigation System based on Adaptive UKF;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21

5. Backward smoothing adaptive SVDCKF integrated navigation algorithm;Advances in Space Research;2023-07

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