基于Allan方差的MEMS陀螺仪噪声分析
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摘要
文中根据Allan方差原理系统的分析了随机噪声的来源、频率分布和对陀螺仪随机误差的影响,并对一种陀螺仪进行了实测和分析,用一种简单Allan方差方法,得到了5项对MEMS陀螺仪影响较大的噪声系数。结果表明,该方法能有效地估算出陀螺仪中的各项噪声系数。
In the paper,according to the theory of the Allan variance system analysis of the random noise,frequency distribution,and impact on gyroscope random error,and a gyroscope was measured and analyzed.Using a simple Allan variance method,the five noise factors had a greater impact on MEMS gyroscope.The results show that this method can effectively estimate the noise factor of the gyroscope.
In the paper,according to the theory of the Allan variance system analysis of the random noise,frequency distribution,and impact on gyroscope random error,and a gyroscope was measured and analyzed.Using a simple Allan variance method,the five noise factors had a greater impact on MEMS gyroscope.The results show that this method can effectively estimate the noise factor of the gyroscope.
引文
[1]赵思浩,陆明泉,冯振明.基于一种简化Allan方差法的IMU误差分析[J].传感器与微系统,2010,29(12):12-14.
[2]沈强,刘洁瑜,王杰飞,等.MEMS陀螺仪随机误差的动态辨识[J].压电与声光,2014,36(6):945-948.
[3]张玉莲,储海荣,张宏巍,等.MEMS陀螺随机误差特性研究及补偿[J].中国光学,2016,9(4):501-510.
[4]QUINCHIA A G,FALCO G,FALLYYI E,et al.A Comparison between Different Error Modeling of MEMS Applied to GPS/INS Integrated Systems[J].Sensors,2013,13(8):9549-88.
[5]赵思浩,陆明泉,冯振明.MEMS惯性器件误差系数的Allan方差分析方法[J].中国科学:物理学力学天文学,2010,40(5):672-675.
[6]赵思浩,陆明泉,冯振明.MEMS惯性器件误差系数的Allan方差分析方法[J].中国科学:物理学力学天文学,2010(5):672-675.
[7]EL-SHEIMY N,HOU H,NIU X.Analysis and Modeling of Inertial Sensors Using Allan Variance[J].IEEE Transactions on Instrumentation&Measurement,2008,57(1):140-149.
[8]LI J,FANG J.Sliding average allan variance for inertial sensor stochastic error analyis[J].IEEE Transactions on Instrumentation&Measurement,2013,62(12):3291-3300.
[9]刘明雍,朱立,董海霞.基于卡尔曼滤波的陀螺仪阵列技术研究[J].兵工学报,2016,37(2):272-278.
[10]CHENGYU J,LIANG X,HONGLONG C,et al.Signal Processing of MEMS Gyroscope Arrays to Improve Accuracy Using a 1st order markov for Rate Signal Modeling[J].Sensors,2012,12(2):1720-1737.
[2]沈强,刘洁瑜,王杰飞,等.MEMS陀螺仪随机误差的动态辨识[J].压电与声光,2014,36(6):945-948.
[3]张玉莲,储海荣,张宏巍,等.MEMS陀螺随机误差特性研究及补偿[J].中国光学,2016,9(4):501-510.
[4]QUINCHIA A G,FALCO G,FALLYYI E,et al.A Comparison between Different Error Modeling of MEMS Applied to GPS/INS Integrated Systems[J].Sensors,2013,13(8):9549-88.
[5]赵思浩,陆明泉,冯振明.MEMS惯性器件误差系数的Allan方差分析方法[J].中国科学:物理学力学天文学,2010,40(5):672-675.
[6]赵思浩,陆明泉,冯振明.MEMS惯性器件误差系数的Allan方差分析方法[J].中国科学:物理学力学天文学,2010(5):672-675.
[7]EL-SHEIMY N,HOU H,NIU X.Analysis and Modeling of Inertial Sensors Using Allan Variance[J].IEEE Transactions on Instrumentation&Measurement,2008,57(1):140-149.
[8]LI J,FANG J.Sliding average allan variance for inertial sensor stochastic error analyis[J].IEEE Transactions on Instrumentation&Measurement,2013,62(12):3291-3300.
[9]刘明雍,朱立,董海霞.基于卡尔曼滤波的陀螺仪阵列技术研究[J].兵工学报,2016,37(2):272-278.
[10]CHENGYU J,LIANG X,HONGLONG C,et al.Signal Processing of MEMS Gyroscope Arrays to Improve Accuracy Using a 1st order markov for Rate Signal Modeling[J].Sensors,2012,12(2):1720-1737.