Cargando…
Square-Root Unscented Information Filter and Its Application in SINS/DVL Integrated Navigation
To address the problem of low accuracy for the regular filter algorithm in SINS/DVL integrated navigation, a square-root unscented information filter (SR-UIF) is presented in this paper. The proposed method: (1) adopts the state probability approximation instead of the Taylor model linearization in...
Autores principales: | Guo, Yan, Wu, Meiping, Tang, Kanghua, Zhang, Lu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069366/ https://www.ncbi.nlm.nih.gov/pubmed/29958446 http://dx.doi.org/10.3390/s18072069 |
Ejemplares similares
-
Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation
por: Wei, Wenhui, et al.
Publicado: (2018) -
A Novel Grid SINS/DVL Integrated Navigation Algorithm for Marine Application
por: Kang, Yingyao, et al.
Publicado: (2018) -
Constrained Unscented Particle Filter for SINS/GNSS/ADS Integrated Airship Navigation in the Presence of Wind Field Disturbance
por: Gao, Zhaohui, et al.
Publicado: (2019) -
A New Robust Adaptive Filter Aided by Machine Learning Method for SINS/DVL Integrated Navigation System
por: Zhu, Jiupeng, et al.
Publicado: (2022) -
Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode
por: Hou, Bowen, et al.
Publicado: (2018)