In this work, a new time‐sequential positioning and fault detection method is developed for dual‐frequency, multi‐constellation Advanced Receiver Autonomous Integrity Monitoring (ARAIM). Unlike conventional “snapshot” ARAIM, sequential ARAIM exploits changes in satellite geometry at the cost of slightly higher computation and memory loads. From the perspective of users on Earth, the motion of any given GNSS satellite is small over short time intervals. But the accumulated geometry variations of redundant satellites from multiple GNSS can be substantial. This paper quantifies performance benefits brought by satellite motion to ARAIM. It specifically addresses the following challenges: (a) defining raw GNSS code and carrier error models over time, (b) designing estimators and fault detectors exploiting geometric diversity for positioning, cycle ambiguity estimation, and integrity evaluation, and (c) formulating these algorithms in a computationally efficient implementation. Performance improvements provided by sequential ARAIM over snapshot ARAIM are evaluated by worldwide availability analysis for aircraft approach navigation.

中文翻译：

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利用卫星运动的多星座ARAIM

在这项工作中，为双频，多星座高级接收机自主完整性监控（ARAIM）开发了一种新的时间顺序定位和故障检测方法。与传统的“快照” ARAIM不同，顺序ARAIM利用卫星几何形状的变化，但会付出稍高的计算和内存负荷。从地球上用户的角度来看，任何给定的GNSS卫星的运动在很短的时间间隔内都是很小的。但是，来自多个GNSS的冗余卫星累积的几何变化可能很大。本文量化了卫星运动给ARAIM带来的性能收益。它专门解决了以下挑战：（a）随时间定义原始的GNSS代码和载波错误模型；（b）利用几何多样性进行定位的设计估算器和故障检测器，周期模糊度估算和完整性评估，以及（c）以计算有效的方式制定这些算法。连续ARAIM相对于快照ARAIM所提供的性能改进是通过飞机进近导航的全球可用性分析来评估的。