Cargando…
Constrained Unscented Particle Filter for SINS/GNSS/ADS Integrated Airship Navigation in the Presence of Wind Field Disturbance
Due to the disturbance of wind field, it is difficult to achieve precise airship positioning and navigation in the stratosphere. This paper presents a new constrained unscented particle filter (UPF) for SINS/GNSS/ADS (inertial navigation system/global navigation satellite system/atmosphere data syst...
Autores principales: | Gao, Zhaohui, Mu, Dejun, Zhong, Yongmin, Gu, Chengfan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387430/ https://www.ncbi.nlm.nih.gov/pubmed/30682782 http://dx.doi.org/10.3390/s19030471 |
Ejemplares similares
-
Unscented Kalman filter for airship model uncertainties and wind disturbance estimation
por: Wasim, Muhammad, et al.
Publicado: (2021) -
Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation
por: Wei, Wenhui, et al.
Publicado: (2018) -
A Strap-Down Inertial Navigation/Spectrum Red-Shift/Star Sensor (SINS/SRS/SS) Autonomous Integrated System for Spacecraft Navigation
por: Gao, Zhaohui, et al.
Publicado: (2018) -
Random Weighting, Strong Tracking, and Unscented Kalman Filter for Soft Tissue Characterization
por: Shin, Jaehyun, et al.
Publicado: (2018) -
Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter
por: Gao, Bingbing, et al.
Publicado: (2018)