On the Error State Selection for Stationary SINS Alignment and Calibration Kalman Filters—Part II: Observability/Estimability Analysis

This paper presents the second part of a study aiming at the error state selection in Kalman filters applied to the stationary self-alignment and calibration (SSAC) problem of strapdown inertial navigation systems (SINS). The observability properties of the system are systematically investigated, an...

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Detalles Bibliográficos
Autores principales: Silva, Felipe O., Hemerly, Elder M., Leite Filho, Waldemar C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375725/
https://www.ncbi.nlm.nih.gov/pubmed/28241494
http://dx.doi.org/10.3390/s17030439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375725/
https://www.ncbi.nlm.nih.gov/pubmed/28241494
http://dx.doi.org/10.3390/s17030439

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