Cargando…
A Coarse Alignment Method Based on Digital Filters and Reconstructed Observation Vectors
In this paper, a coarse alignment method based on apparent gravitational motion is proposed. Due to the interference of the complex situations, the true observation vectors, which are calculated by the apparent gravity, are contaminated. The sources of the interference are analyzed in detail, and th...
Autores principales: | Xu, Xiang, Xu, Xiaosu, Zhang, Tao, Li, Yao, Wang, Zhicheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421669/ https://www.ncbi.nlm.nih.gov/pubmed/28353682 http://dx.doi.org/10.3390/s17040709 |
Ejemplares similares
-
A Kalman Filter for SINS Self-Alignment Based on Vector Observation
por: Xu, Xiang, et al.
Publicado: (2017) -
A Coarse-Alignment Method Based on the Optimal-REQUEST Algorithm
por: Zhu, Yongyun, et al.
Publicado: (2018) -
Coarse Alignment Technology on Moving Base for SINS Based on the Improved Quaternion Filter Algorithm
por: Zhang, Tao, et al.
Publicado: (2017) -
An Improved In-Motion Coarse Alignment Method for SINS/GPS Integration with Initial Velocity Error Suppression
por: Wang, Yukun, et al.
Publicado: (2023) -
An Improved Coarse Alignment Algorithm for Odometer-Aided SINS Based on the Optimization Design Method
por: Zhang, Yonggang, et al.
Publicado: (2018)