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The Application of Kalman Filter Technique in Testing of Fiber Optic Gyroscope Drift

机译:卡尔曼滤波技术在光纤陀螺仪漂移测试中的应用

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At present the Fiber Optic Gyroscope (FOG) is usually used in INS (Inertial Navigation System) as an inertial component, its error is the important factor that effect navigation precision of system, however, the precision of FOG is lower that it is necessary to analyze the performance and give the error parameters to raise the precision. In this paper, the test data of FOG are analyzed, and using the AR (2) model to estimate the parameter of state equation, and receive the statistic characteristic of noise from observation information. And then, we use Kalman filter technique to wipe off the noise from the gathered data. At last, the simulation result of the fiber optic gyroscope testing data is given. And Matlab is used in programming the simulation program, and the testing curve is given.
机译:目前,光纤陀螺(雾)通常用于INS(惯性导航系统)作为惯性组件,其误差是影响系统的导航精度的重要因素,但是,雾的精度降低了它是必要的分析性能并给出错误参数以提高精度。在本文中,分析了雾的测试数据,并使用AR(2)模型来估计状态等式的参数,并从观察信息接收噪声的统计特征。然后,我们使用卡尔曼滤波技术擦除收集数据的噪声。最后,给出了光纤陀螺仪测试数据的仿真结果。和MATLAB用于编程模拟程序,并给出测试曲线。

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