An Adaptive Filtering Approach Based on the Dynamic Variance Model for Reducing MEMS Gyroscope Random Error

To improve the dynamic random error compensation accuracy of the Micro Electro Mechanical System (MEMS) gyroscope at different angular rates, an adaptive filtering approach based on the dynamic variance model was proposed. In this paper, experimental data were utilized to fit the dynamic variance mo...

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Detalles Bibliográficos
Autores principales: Zhang, Yanshun, Peng, Chuang, Mou, Dong, Li, Ming, Quan, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263982/
https://www.ncbi.nlm.nih.gov/pubmed/30441859
http://dx.doi.org/10.3390/s18113943

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263982/
https://www.ncbi.nlm.nih.gov/pubmed/30441859
http://dx.doi.org/10.3390/s18113943

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