Troposphere Delay Model Error Analysis With Application to Vertical Protection Level Calculation

Yuqing Lai, J. Blanch, Todd Walter
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引用次数: 1

Abstract

. ABSTRACT In the L1 Satellite Based Augmentation System (SBAS) Minimum Operational Performance Standard (MOPS) the correlation of the tropospheric model correction error is treated as though it is uncorrelated from one satellite to another when computing the position error bound. This simplification has recently been called into question in Gallon et al. (2021). This paper examines the effect of neglecting this cross-satellite correlation on the protection level computation. We have found the lack of correlation terms to be conservative when generating the Horizontal Protection Level (HPL). However, there are cases where the Vertical Protection Level may be underestimated by neglecting this effect. For current operations where the Vertical Alert Limit (VAL) is 35 m and above, the effect is limited to about 2% of the MOPS VPL value. For smaller VALs, the effect can be much more significant, particularly is VALs below 10 m are considered. We recommend including the correlation term in bounding the tropospheric correction errors for the upcoming dual frequency SBAS MOPS. We examine 10 years of tropospheric delay data collected and processed from hundreds of International GNSS Service (IGS) stations. 3 tropospheric models are used to analyze the residuals between IGS data and model predictions – University of New Brunswick 3 (UNB3), Global Pressure and Temperature 2 Wet (GPT2W) and Global Pressure and Temperature 3 (GPT3). Residuals are analyzed in terms of their probabilistic distribution in each IGS station. Stations are grouped and categorized by years and locations. It is found that residual distributions are most strongly dependent on latitude. In some infrequent cases where the IGS data appear to be anomalous and far from the model values, JPL data and actual weather record are used to evaluate and validate or reject the anomaly data. Finally, Gaussian pair-bounds are established in every station. An overall residual distribution is provided to account for the correction error caused by using the model. Finally, alternate forms for the SBAS VPL are provided to fully account for the cross satellite tropospheric model errors.
对流层延迟模型误差分析及其在垂直防护等级计算中的应用
. 在L1卫星增强系统(SBAS)最小操作性能标准(MOPS)中,对流层模式校正误差的相关性在计算位置误差界时被视为不相关。这种简化最近在加仑等人(2021)中受到质疑。本文研究了忽略这种卫星间相关性对防护等级计算的影响。我们发现,在生成水平防护等级(HPL)时,缺少相关项会造成保守性。然而,在某些情况下,由于忽略了这一影响,垂直防护水平可能会被低估。对于当前垂直警戒极限(VAL)为35米及以上的作业,其影响被限制在MOPS VPL值的2%左右。对于较小的VALs,影响可能更为显著,特别是在考虑10米以下的VALs时。我们建议在即将到来的双频SBAS MOPS的对流层校正误差边界中包含相关项。我们研究了从数百个国际GNSS服务(IGS)站点收集和处理的10年来对流层延迟数据。3个对流层模式用于分析IGS数据与模式预测之间的残差-新不伦瑞克大学3 (UNB3),全球压力和温度2湿(GPT2W)和全球压力和温度3 (GPT3)。根据残差在各个IGS站点的概率分布分析残差。电台按年份和地点分组和分类。残差分布对纬度的依赖性最强。在一些罕见的情况下,当IGS数据出现异常且与模式值相差甚远时,使用JPL数据和实际天气记录来评估和验证或拒绝异常数据。最后,在每个站点上建立高斯对界。提供了一个总体残差分布来解释使用该模型引起的校正误差。最后,提供了SBAS VPL的替代形式,以充分考虑卫星间对流层模式误差。
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