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Application of Modified Strong Tracking Filter in GPS/INS Integrated Navigation System

机译:改进型强跟踪滤波器在GPS / INS组合导航系统中的应用

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Enhancing the noise intensity is the rife method for compensating the errors of velocity caused by lever arm distortion. But the academic statistical characteristic of measurement noise is different from actual noise. So this paper proposes a new method to compensate errors of velocity. The new method is that static velocity errors caused by the lever arm distortion are compensated in the measurement equations and dynamic errors are added into the measurement noise. The statistical characteristic of new measurement noise is not constant and it changes in real-time. At the same time this paper proposes modified strong tracking filter, it is suitable for upon environment. The new algorithm can track and estimate the statistical characteristic of new measurement noise in real-time. The results of simulation experiment show the modified strong tracking algorithm can improve the navigation precision, which is an effective and practical method.
机译:增强噪声强度是用于补偿由杠杆臂变形引起的速度误差的普遍方法。但是测量噪声的学术统计特性不同于实际噪声。因此本文提出了一种新的速度误差补偿方法。新方法是在测量方程中补偿由杠杆臂变形引起的静态速度误差,并将动态误差添加到测量噪声中。新测量噪声的统计特性不是恒定的,而是实时变化的。同时提出了改进的强跟踪滤波器,适用于恶劣环境。该新算法可以实时跟踪和估计新测量噪声的统计特性。仿真实验结果表明,改进的强跟踪算法可以提高导航精度,是一种有效,实用的方法。

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