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Stochastic modeling the vertical deflection errors of EGM2008 for INS/GNSS integration

机译:用于INS / GNSS集成的EGM2008垂直偏转误差的随机建模

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The vertical deflections (VD) error of earth gravity model, which is one of primary error sources in high-precision inertial navigation system, is usually modeled as stochastic processes. In this paper, the VD error of the Earth Gravity Model 2008 (EGM2008) are modeled as 2ed order Gauss-Markov processes. The statistical characteristics of VD error are numerically analyzed by extensive comparing with a high-precision VD model of USA, namely DEFLEC12. Second order auto-regression processes are adopted to model the discrete VD error data on different trajectories, and the parameters of the corresponding 2ed order Gauss-Markov continued model are calculated. According to the statistical analysis, the general rules for setting model parameters are concluded.
机译:地球重力模型的垂直挠度(VD)误差是高精度惯性导航系统中的主要误差源之一,通常被建模为随机过程。本文将地球重力模型2008(EGM2008)的VD误差建模为二阶高斯-马尔可夫过程。通过与美国的高精度VD模型DEFLEC12进行广泛比较,对VD误差的统计特征进行了数值分析。采用二阶自回归过程对离散VD误差数据在不同轨迹上的建模,并计算了相应的二阶高斯-马尔可夫连续模型的参数。根据统计分析,得出了设置模型参数的一般规则。

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