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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...
Autores principales: | Zhang, Yanshun, Peng, Chuang, Mou, Dong, Li, Ming, Quan, Wei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
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 |
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