| 硅微陀螺仪随机漂移建模及滤波 |
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| 引用本文： | 刘天亮,高胜利.硅微陀螺仪随机漂移建模及滤波[J].电子测量技术,2010(9):33-34,59. |
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| 作者姓名： | 刘天亮 高胜利 |
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| 作者单位： | 1. 内蒙古工业大学,呼和浩特,010051
2. 内蒙古工业大学,呼和浩特,010051;内蒙古蒙电华能热电股份有限公司,呼和浩特,010020 |
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| 摘 要： | 通过对硅微陀螺实测数据的分析与预处理,得到了平稳正态零均值的时间序列。在时间序列分析的基础上,通过对比AR模型各参数,利用fpe准则确定了AR（1）模型,并以AR（1）模型的输出进行kalman滤波,从而降低随机过程噪声对陀螺仪精度的影响。实验结果表明,kalman滤波可有效提高硅微陀螺的精度。
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| 关 键 词： | 硅微陀螺仪 AR模型 kalman滤波 |
Filter and model of silicon micro-gyroscope random drift |
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| Liu Tianliang,Gao Shengli.Filter and model of silicon micro-gyroscope random drift[J].Electronic Measurement Technology,2010(9):33-34,59. |
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| Authors: | Liu Tianliang Gao Shengli |
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| Affiliation: | Liu Tianliang Gao Shengli,(1.Inner Mongolia University,Hohhot 010051;2.Inner Mongolia MengDian HuaNeng Thermal Power Corporation Limited,Hohhot 010020) |
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| Abstract: | Through the measured data of gyro analysis and preprocessing,get a steady,normal,zero mean time series.on the basis of analysis of time series,through comparing the AR model parameters,make use of fpe standard,creat the AR（1）model,And with AR（1）kalman filtering of output,then reducing random process of gyro effect of noise accuracy.Experimental results show that：the kalman filter can effectively improve the accuracy of silicon gyro. |
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| Keywords: | silicon micro-gyroscope AR model kalman filter |
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