A Kalman Filter for Nonlinear Attitude Estimation Using Time Variable Matrices and Quaternions

The nonlinear problem of sensing the attitude of a solid body is solved by a novel implementation of the Kalman Filter. This implementation combines the use of quaternions to represent attitudes, time-varying matrices to model the dynamic behavior of the process and a particular state vector. This v...

Descripción completa

Detalles Bibliográficos
Autores principales: Deibe, Álvaro, Antón Nacimiento, José Augusto, Cardenal, Jesús, López Peña, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728053/
https://www.ncbi.nlm.nih.gov/pubmed/33255620
http://dx.doi.org/10.3390/s20236731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728053/
https://www.ncbi.nlm.nih.gov/pubmed/33255620
http://dx.doi.org/10.3390/s20236731

Ejemplares similares