| 光纤陀螺随机漂移的建模与滤波研究 |
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| 引用本文： | 段苛苛,李邓化,伊丽娜.光纤陀螺随机漂移的建模与滤波研究[J].压电与声光,2011,33(5). |
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| 作者姓名： | 段苛苛 李邓化 伊丽娜 |
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| 作者单位： | 1. 北京交通大学电子信息工程学院,北京,100044
2. 北京信息科技大学自动化学院,北京,100101 |
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| 基金项目： | 北京市属市管高等学校人才强教计划基金资助项目(PHR200907124) |
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| 摘 要： | 时间序列模型是对光纤陀螺(FOG)随机漂移进行建模的一种重要方法.传统的时间序列建模方法难以应用于实时建模,且模型精度较低.因此,提出了适用于高精度FOG随机漂移的改进自回归整合移动平均模型(ARIMA),并基于该模型建立了FOG随机漂移的实时Kalman滤波器.实验结果表明,该改进ARIMA模型能较准确地描述FOG的随机漂移；Allan方差分析结果表明,与基于传统自回归移动平均模型(ARMA)的Kalman滤波结果相比,基于该模型的Kalman滤波对减小光纤陀螺的5项主要随机误差更有效.
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| 关 键 词： | 光纤陀螺 随机漂移 Allan方差 平稳性检验 Kalman滤波 |
Study on Modeling and Filtering of the Fiber Optic Gyroscope Random Drift |
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| DUAN Keke,LI Denghua,YI Lina.Study on Modeling and Filtering of the Fiber Optic Gyroscope Random Drift[J].Piezoelectrics & Acoustooptics,2011,33(5). |
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| Authors: | DUAN Keke LI Denghua YI Lina |
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| Affiliation: | DUAN Keke1,LI Denghua2,YI Lina2(1.School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China,2.School of Automation,Beijing Information Science and Technology University,Beijing 100101,China) |
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| Abstract: | The time series model is an important modeling approach of the FOG random drift.The conventional time series modeling approach is difficult to be applied in real-time condition,and has the feature of low accuracy.To overcome these problems,an improved Autoregressive Integrated Moving Average(ARIMA) model which can be applied to the modeling of high-precision FOG's random drift has been presented,and the real time Kalman filter has been fabricated based on the model.The experimental results indicated that th... |
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| Keywords: | FOG random drift Allan variance stationarity test Kalman filter |
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