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Non-Gaussian Error Modeling for GBAS 1 Integrity Assessment

机译:GBAS 1完整性评估的非高斯误差建模

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摘要

Four basic error sources exist for residual pseudo-range errors in a single frequency differential GPS system for ground based augmentation (GBAS): signal multipath, increased receiver noise (carrier-to-noise density ratios ($C/N_0$)) due to interference, residual differential troposphere error, and the error induced by ionosphere gradients. Without restricting ourselves to classical Gaussian overbounding, we combine their probability density functions (pdfs) to a total pseudo-range error distribution. This distribution is propagated through the GBAS Hatch filter and then mapped into the position domain using a worst case (selected by maximum vertical dilution of precision (VDOP)) of a full 31 satellite constellation with the two most critical satellites failed observed at Braunschweig Airport, Germany. Our calculations yield a significant reduction amounting to 46% of the position domain error at the $1.5times10^{-7}$ integrity risk level when compared with the classical Gaussian overbounding approach.
机译:对于基于地面增强(GBAS)的单频差分GPS系统中,存在四个基本误差源,用于残留伪距误差:信号多径,接收机噪声增加(载波噪声密度比($ C / N_0 $)),原因是干扰,对流层剩余差分误差以及电离层梯度引起的误差。在不局限于经典高斯越界的情况下,我们将其概率密度函数(pdfs)组合为总的伪距误差分布。该分布通过GBAS舱口滤波器传播,然后使用不完整情况(由精度最高的垂直垂直稀释度(VDOP)选择)的完整31个卫星星座映射到位置域,其中在不伦瑞克机场观测到两个最关键的卫星失败,德国。与经典高斯越界方法相比,在$ 1.5×10 ^ {-7} $完整性风险级别下,我们的计算得出的结果大为减少了46%的位置域错误。

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