| 基于自适应卡尔曼滤波器的MEMS陀螺零点漂移的研究 |
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| 引用本文： | 崔伟,陈伟曹.基于自适应卡尔曼滤波器的MEMS陀螺零点漂移的研究[J].传感器世界,2011(1):6-8,4. |
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| 作者姓名： | 崔伟 陈伟曹 |
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| 作者单位： | 中国人民解放军驻中国航天科工集团第二研究院;北京信息科技大学 |
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| 摘 要： | 随机噪声是影响MEMS陀螺精度的一个重要因素。本文基于时间序列分析方法建立MEMS陀螺的随机漂移AR模型后，使用自适应卡尔曼滤波器对信号进行滤波。通过比较陀螺原始信号和自适应卡尔曼滤波后的信号，可以得出结论：自适应卡尔曼滤波器在处理MEMS陀螺零点漂移中具有良好的滤波效果。
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| 关 键 词： | MEMS陀螺 AR模型 自适应卡尔曼滤波器 |
Research on the zero drift signal of MEMS gyro based on adaptive Kalman filter |
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| CUI Wei,CHEN Wei-cao.Research on the zero drift signal of MEMS gyro based on adaptive Kalman filter[J].Sensor World,2011(1):6-8,4. |
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| Authors: | CUI Wei CHEN Wei-cao |
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| Affiliation: | 1.The Second Institute of China Aerospace Science and Technology Corporation /PLA,Beijing 100854,China 2.Beijing Information Science & Technology University,Beijing 100101, China |
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| Abstract: | The random noise is an important factor that affects the precision of the MEMS gyroscope.Based on the time-series analysis method,the AR model of the MEMS gyro drift signal is established.Then the adaptive Kalman filter is used to filter the drift signal.Comparison the original signal and the signal filtered by the adaptive Kalman filter,it is found that the adaptive Kalman filter has a good filtering effect in processing the zero drift signal of the MEMS gyro. |
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| Keywords: | MEMS gyro zero drift time series analysis AR model adaptive Kalman filter |
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