Machine Learning Gyro Calibration Method Based on Attitude Estimation
| Autor: | Xiaoli Bai, Hao Peng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
020301 aerospace & aeronautics
business.industry Computer science Calibration (statistics) Aerospace Engineering 02 engineering and technology Machine learning computer.software_genre 01 natural sciences Convolutional neural network 010305 fluids & plasmas Extended Kalman filter Sun sensor symbols.namesake 0203 mechanical engineering Space and Planetary Science 0103 physical sciences symbols CubeSat Artificial intelligence business Quaternion computer Gaussian process |
| Zdroj: | Journal of Spacecraft and Rockets. 58:1636-1651 |
| ISSN: | 1533-6794 0022-4650 |
| Popis: | This paper proposes a novel machine learning (ML) gyro calibration method that can achieve higher-accuracy gyro calibration and attitude estimation than the classical extended Kalman filter (EKF) a... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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