Cargando…
UAV Swarm Navigation Using Dynamic Adaptive Kalman Filter and Network Navigation
Aiming to improve the positioning accuracy of an unmanned aerial vehicle (UAV) swarm under different scenarios, a two-case navigation scheme is proposed and simulated. First, when the Global Navigation Satellite System (GNSS) is available, the inertial navigation system (INS)/GNSS-integrated system...
Autores principales: | Zhang, Jingjuan, Zhou, Wenxiang, Wang, Xueyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398886/ https://www.ncbi.nlm.nih.gov/pubmed/34450815 http://dx.doi.org/10.3390/s21165374 |
Ejemplares similares
-
Adaptive Robust Unscented Kalman Filter for AUV Acoustic Navigation
por: Wang, Junting, et al.
Publicado: (2019) -
Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems
por: Tseng, Chien-Hao, et al.
Publicado: (2016) -
Comparison of Kalman Filters for Inertial Integrated Navigation
por: Zhang, Mengde, et al.
Publicado: (2019) -
A New Variational Bayesian Adaptive Extended Kalman Filter for Cooperative Navigation
por: Sun, Chengjiao, et al.
Publicado: (2018) -
Application of Adaptive Robust Kalman Filter Base on MCC for SINS/GPS Integrated Navigation
por: Li, Linfeng, et al.
Publicado: (2023)