| MEMS传感器随机误差Allan方差分析 |
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| 引用本文： | 高宗余,方建军,于丽杰.MEMS传感器随机误差Allan方差分析[J].仪器仪表学报,2011,32(12). |
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| 作者姓名： | 高宗余 方建军 于丽杰 |
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| 作者单位： | 北京联合大学自动化学院 北京100101 |
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| 基金项目： | 国家自然科学基金，模式识别与智能机器人系统学术创新团队项目 |
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| 摘 要： | MEMS传感器中随机误差较大,有时会覆盖传感器中有用信号,提出采用Allan方差(Allan variance)方法对MEMS传感器实测数据进行分析,系统地分析了引起MEMS传感器误差的随机噪声种类及其来源和特性,确定其各项系数,根据系数获得其功率谱密度,根据功率谱密度分析法与Allan方差分析法获得对应各项随机误差的数学模型,然后以数学表达式的形式得到统一的数学模型,再与卡尔曼滤波相结合得到增强的卡尔曼滤波,最后通过车载实验对MEMS-INS/GPS各个姿态进行卡尔曼滤波与改进后卡尔曼滤波2种滤波方法的比较,实验结果表明新滤波方法能很好地提高微惯性系统各个姿态精度.
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| 关 键 词： | MEMS Allan方差 随机噪声 功率谱密度 数学模型 |
Allan variance analysis for the stochastic error of MEMS sensors |
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| Gao Zongyu,Fang Jianjun,Yu Lijie.Allan variance analysis for the stochastic error of MEMS sensors[J].Chinese Journal of Scientific Instrument,2011,32(12). |
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| Authors: | Gao Zongyu Fang Jianjun Yu Lijie |
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| Affiliation: | Gao Zongyu,Fang Jianjun,Yu Lijie(The College of Automation,Beijing Union University,Beijing 100101,China) |
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| Abstract: | In some cases,large stochastic errors usually override effective signals in MEMS sensors.Allan variance approach as a common way in analyzing frequency stability in time domain has been proposed to analyze the data measured with MEMS sensors and describe the sources and characteristics of random noises that cause measurement errors of MEMS sensors.The coefficients of individual stochastic error are determined using Allan variance approach to obtain their power spectral densities.Meanwhile,the mathematical m... |
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| Keywords: | MEMS Allan variance stochastic noise power spectral density mathematical model |
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