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...

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Detalles Bibliográficos
Autores principales: Huo, Zimin, Wang, Fuchao, Shen, Honghai, Sun, Xin, Zhang, Jingzhong, Li, Yaobin, Chu, Hairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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