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Optimal Compensation of MEMS Gyroscope Noise Kalman Filter Based on Conv-DAE and MultiTCN-Attention Model in Static Base Environment
Errors in microelectromechanical systems (MEMS) inertial measurement units (IMUs) are large, complex, nonlinear, and time varying. The traditional noise reduction and compensation methods based on traditional models are not applicable. This paper proposes a noise reduction method based on multi-laye...
Autores principales: | Huo, Zimin, Wang, Fuchao, Shen, Honghai, Sun, Xin, Zhang, Jingzhong, Li, Yaobin, Chu, Hairong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573235/ https://www.ncbi.nlm.nih.gov/pubmed/36236349 http://dx.doi.org/10.3390/s22197249 |
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