Multi-GNSS signal-in-space range error assessment - Methodology and results
Multi-GNSS signal-in-space range error assessment - Methodology and results
复制标题
DOI：
10.1016/j.asr.2018.03.041
复制
发表时间：
2018-06-15
影响因子：
2.6
通讯作者：
Hauschild, Andre
中科院分区：
文献类型：
--
作者：
Montenbruck, Oliver;Steigenberger, Peter;Hauschild, Andre
全球和区域导航卫星系统（GNSS/RNSS）的定位精度取决于各种影响因素。对于星座特定的性能分析，它已成为常见的做法，从测量和建模误差的个别测距测量（称为用户等效距离误差，UERE）分离几何相关的质量因子（精度因子，DOP）。后者进一步分为用户设备错误和与空间和控制部分相关的贡献。本研究报告审查了空间信号距离误差分析的基本概念和基本假设，并提出了一个基于广播星历和精确星历比较的多全球导航卫星系统性能监测统一框架。不一致的几何参考点，非共同的时间系统，和信号特定的距离偏差的影响进行了分析，并制定了战略，以应对这些问题的定义和计算SIS的距离误差。所提出的概念，此外，适用于当前的导航卫星系统，并提出了代表性的结果沿着讨论星座的具体问题，在他们的决心。基于2017年1月至12月的数据，伽利略、GPS、北斗二号和GLONASS分别获得了0.2米、0.6米、1米和2米的代表性全球平均均方根（RMS）SISRE值。大约2倍大的值适用于相应的第95百分位值。总体而言，该研究有助于更好地理解和统一多重全球导航卫星系统SISRE分析及其作为各星座关键性能指标的使用。(C)2018 COSPAR。由爱思唯尔有限公司出版。保留所有权利。
The positioning accuracy of global and regional navigation satellite systems (GNSS/RNSS) depends on a variety of influence factors. For constellation-specific performance analyses it has become common practice to separate a geometry-related quality factor (the dilution of precision, DOP) from the measurement and modeling errors of the individual ranging measurements (known as user equivalent range error, UERE). The latter is further divided into user equipment errors and contributions related to the space and control segment. The present study reviews the fundamental concepts and underlying assumptions of signal-in-space range error (SISRE) analyses and presents a harmonized framework for multi-GNSS performance monitoring based on the comparison of broadcast and precise ephemerides. The implications of inconsistent geometric reference points, non-common time systems, and signal-specific range biases are analyzed, and strategies for coping with these issues in the definition and computation of SIS range errors are developed. The presented concepts are, furthermore, applied to current navigation satellite systems, and representative results are presented along with a discussion of constellation-specific problems in their determination. Based on data for the January to December 2017 time frame, representative global average root-mean-square (RMS) SISRE values of 0.2 m, 0.6 m, 1 m, and 2 m are obtained for Galileo, GPS, BeiDou-2, and GLONASS, respectively. Roughly two times larger values apply for the corresponding 95th-percentile values. Overall, the study contributes to a better understanding and harmonization of multi-GNSS SISRE analyses and their use as key performance indicators for the various constellations. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.