Application of Adaptive Robust CKF in SINS/GPS Initial Alignment with Large Azimuth Misalignment Angle
Author(s) -
Zhang Bing,
Xiaodong Wang,
Hao Lu,
Zhaojun Hao,
Changchao Gu
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/7398706
Subject(s) - azimuth , inertial navigation system , control theory (sociology) , global positioning system , nonlinear system , convergence (economics) , computer science , noise (video) , stability (learning theory) , orientation (vector space) , algorithm , mathematics , computer vision , artificial intelligence , image (mathematics) , telecommunications , physics , geometry , control (management) , quantum mechanics , machine learning , economics , economic growth
When the strapdown inertial navigation system does not perform coarse alignment, the misalignment angle is generally a large angle, and a nonlinear error model and a nonlinear filtering method are required. For large azimuth misalignment, the initial alignment technology with a large azimuth misalignment angle is researched in this paper. The initial alignment technology with a large azimuth misalignment angle is researched in this paper. First, the SINS/GPS nonlinear error model is established. Secondly, in the view of observation gross errors and inaccurate noise statistical characteristics, an adaptive robust CKF algorithm is proposed. Finally, according to the simulation analysis and experiment, the adaptive robust CKF algorithm can augment the stability and improve the filter estimation precision and convergence rate.
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