Cargando…
Simultaneous Mean and Covariance Correction Filter for Orbit Estimation
This paper proposes a novel filtering design, from a viewpoint of identification instead of the conventional nonlinear estimation schemes (NESs), to improve the performance of orbit state estimation for a space target. First, a nonlinear perturbation is viewed or modeled as an unknown input (UI) cou...
Autores principales: | Wang, Xiaoxu, Pan, Quan, Ding, Zhengtao, Ma, Zhengya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982120/ https://www.ncbi.nlm.nih.gov/pubmed/29734764 http://dx.doi.org/10.3390/s18051444 |
Ejemplares similares
-
Shrinkage estimation for mean and covariance matrices
por: Tsukuma, Hisayuki, et al.
Publicado: (2020) -
Estimating model error covariances using particle filters
por: Zhu, Mengbin, et al.
Publicado: (2017) -
Identification of Noise Covariance Matrices to Improve Orientation Estimation by Kalman Filter
por: Nez, Alexis, et al.
Publicado: (2018) -
Covariance matrix filtering with bootstrapped hierarchies
por: Bongiorno, Christian, et al.
Publicado: (2021) -
A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance
por: Zheng, Binqi, et al.
Publicado: (2018)