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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...

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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

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