Cargando…
Seamless MEMS-INS/Geomagnetic Navigation System Based on Deep-Learning Strong Tracking Square-Root Cubature Kalman Filter
To suppress inertial navigation system drift and improve the seamless navigation capability of microelectromechanical system-inertial navigation systems/geomagnetic navigation systems (MEMS-INS/MNS) in geomagnetically unlocked environments, this paper proposes a hybrid seamless MEMS-INS/MNS strategy...
Autores principales: | Zhao, Tianshang, Wang, Chenguang, Shen, Chong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609544/ https://www.ncbi.nlm.nih.gov/pubmed/37893372 http://dx.doi.org/10.3390/mi14101935 |
Ejemplares similares
-
An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems
por: Feng, Kaiqiang, et al.
Publicado: (2018) -
Improved Strong Tracking Cubature Kalman Filter for UWB Positioning
por: Pu, Yuxiang, et al.
Publicado: (2023) -
Strong Tracking Spherical Simplex-Radial Cubature Kalman Filter for Maneuvering Target Tracking
por: Liu, Hua, et al.
Publicado: (2017) -
Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems
por: Tseng, Chien-Hao, et al.
Publicado: (2016) -
Input Forces Estimation for Nonlinear Systems by Applying a Square-Root Cubature Kalman Filter
por: Song, Xuegang, et al.
Publicado: (2017)