A Sequential Multiplicative Extended Kalman Filter for Attitude Estimation Using Vector Observations

In this paper, a sequential multiplicative extended Kalman filter (SMEKF) is proposed for attitude estimation using vector observations. In the proposed SMEKF, each of the vector observations is processed sequentially to update the attitude, which can make the measurement model linearization more ac...

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Detalles Bibliográficos
Autores principales: Qin, Fangjun, Chang, Lubin, Jiang, Sai, Zha, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982416/
https://www.ncbi.nlm.nih.gov/pubmed/29751538
http://dx.doi.org/10.3390/s18051414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982416/
https://www.ncbi.nlm.nih.gov/pubmed/29751538
http://dx.doi.org/10.3390/s18051414

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