State space modeling of random drift rate in high-precision gyro

Jiang Hong; Yang Wei-Qin; Yang You-Tang

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State space modeling of random drift rate in high-precision gyro

机译：高精度陀螺仪随机漂移率的状态空间建模

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A state space approach for the modeling of nonstationary time series is presented. Based on the concept of smoothness priors constraint, the overall model is fitted by using the Kalman filler and Akaike's AIC criterion. Whenever an autoregressive (AR) model with time-varying coefficient is fitted in state space model, it can be used for the time-varying spectrum estimation. Some numerical results of gyro drift models are obtained for analysis of high-precision gyro. As the trend, irregular and periodic components of the observed time series can be modeled simultaneously, it is statistically more accurate and efficient than that modeled separately

机译：提出了一种用于非平稳时间序列建模的状态空间方法。基于平滑先验约束的概念，使用卡尔曼填料和Akaike的AIC准则拟合整体模型。只要将具有时变系数的自回归（AR）模型拟合到状态空间模型中，就可以将其用于时变频谱估计。获得了陀螺漂移模型的一些数值结果，用于高精度陀螺的分析。由于可以同时对观察到的时间序列的趋势，不规则和周期性成分进行建模，因此与单独建模相比，它在统计上更加准确和有效

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《IEEE Transactions on Aerospace and Electronic Systems》 |1996年第3期|p.1138-1143|共6页
作者
Jiang Hong; Yang Wei-Qin; Yang You-Tang;
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正文语种 eng
中图分类航空;
关键词
Kalman filters; autoregressive processes; fault diagnosis; gyroscopes; inertial navigation; parameter estimation; random processes; state-space methods; time series; time-varying systems; AIC criterion; Akaike; Kalman filler; autoregressive model; fault monitoring; gyr;

机译：卡尔曼滤波器;自回归过程;故障诊断;陀螺仪;惯性导航;参数估计;随机过程;状态空间方法;时间序列;时变系统;AIC准则;Akaike;卡尔曼填充;自回归模型;故障监测;陀螺仪;

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专利

1. State space modeling of random drift rate in high-precision gyro [J] . Jiang Hong, Yang Wei-Qin IEEE Transactions on Aerospace and Electronic Systems . 1996,第3期

机译：高精度陀螺仪随机漂移率的状态空间建模
2. Modeling the Stochastic Drift of a MEMS-Based Gyroscope in Gyro/Odometer/GPS Integrated Navigation [J] . Georgy J., Noureldin A., Korenberg M. J., Intelligent Transportation Systems, IEEE Transactions on . 2010,第4期

机译：陀螺仪/里程表/ GPS集成导航中基于MEMS的陀螺仪的随机漂移建模
3. Using genetic algorithm to learn neural network identifier for modeling gyro startup drift rate [J] . XU Li-na, LI Lin-lin, DENG Zheng-long 20f Journal of Harbin Institute of Technology . 2000,第3期

机译：利用遗传算法学习神经网络识别器对陀螺仪启动漂移率建模
4. Statistical modeling of additive noise and random drift for triaxial rate gyros and accelerometers [C] . Dongyu Yuan, Xiaochuan Ma, Yu Liu, World Congress on Intelligent Control and Automation . 2016

机译：三轴速率陀螺仪和加速度计的附加噪声和随机漂移的统计模型
5. Nonlinear observer/controller designs for spacecraft attitude control systems with uncalibrated gyros. [D] . Thienel, Julie K. 2004

机译：具有未校准陀螺仪的航天器姿态控制系统的非线性观察器/控制器设计。
6. Modification of MTEA-Based Temperature Drift Error Compensation Model for MEMS-Gyros [O] . Bing Qi, Fuzhong Wen, Fanming Liu, 2020

机译：基于MTEA的MEMS-陀螺仪温度漂移误差补偿模型的修正
7. Modeling Nonstationary Random Processes with an Application to Gyro Drift Rate [O] . Albert Van Dierendonc, Robert Brown 1969

机译：使用应用于陀螺漂移率的非营养随机过程建模
8. Evaluation of the Stochastic Drift of Rate-Integrating Gyros as Preparation for the Analysis of Laser Gyro Drift Measurements [R] . Fuerstenau, N. 1984

机译：速率积分陀螺的随机漂移评估作为激光陀螺漂移测量分析的准备

State space modeling of random drift rate in high-precision gyro

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