Study on Kalman Filtering for Noise Filtration in INS

机译：卡尔曼滤波用于INS噪声过滤的研究

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In Integrated Navigation System,the performance of Fibre Optics Gyroscope (FOG) has great influence to Inertia System.To increase the precision of FOG,the methods of filtering are used frequently.Kalman filter is the one which has already been quite practiced.It adopts the recursion method with a high speed in time domain,and it is convenient for real-time processing in Matlab,which offers the control system toolbox to realize the Kalman fiter.The Allan variance estimation is designed to analyze the sampling output data of three axle angular speed measuring instrument TиYC500.

机译：在组合导航系统中，光纤陀螺仪（FOG）的性能对惯性系统有很大的影响。为提高FOG的精度，经常使用滤波方法。卡尔曼滤波器是已经相当实践的一种方法。该方法具有时域高速递归的特点，便于在Matlab中进行实时处理，为控制系统工具箱提供了实现Kalman拟合的方法。艾伦方差估计用于分析三轴采样输出数据角速度测量仪TиYC500。

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《Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing（2008亚洲仿真会议/第七届系统仿真和科学计算国际会议）(ICSC'2008)论文集》|2008年||共4页
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Xia Zhang; Chunpeng Kang;
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Study on Kalman Filtering for Noise Filtration in INS

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