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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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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7728053/ https://ncbi.nlm.nih.gov/pubmed/33255620 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20236731 |
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