在高级RAIM中随时间评估完整性和连续性

C. Milner, B. Pervan, J. Blanch, M. Joerger
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引用次数: 9

摘要

C工作组的服务演进子组(SESG)是由美国和欧盟公共机构为促进GPS-Galileo应用而组成的联合技术委员会,在过去的几年里,它一直在研究与高级RAIM开发及其早期标准化阶段相关的许多主题。本文讨论了从操作(即每小时)到算法(每个样本)的完整性和连续性需求的映射。它提供了一种方法,可以严格考虑多次暴露于危险误导事件对完整性风险的影响,以及对多次检测测试的错误警报概率的影响。这种分析导致了“有效独立样本数”的估计和边界,或者更简洁地说,“有效样本数(NES)”,以确保其各自暴露窗口内的完整性和连续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Integrity and Continuity Over Time in Advanced RAIM
The Service Evolutions Sub-Group (SESG) of Working Group C, the joint technical committee formed from U.S and E. U public bodies for the purpose of promoting GPS-Galileo applications, has spent the past years working on a number of topics relating to Advanced RAIM development and its early stages of standardization. This paper addresses the mapping of integrity and continuity requirements from the operational (i.e. per hour) to the algorithmic (per sample). It provides a method to rigorously account for the impact on integrity risk of multiple exposures to hazardously misleading events over time, and for the impact on false alert probability of multiple detection tests over time. This analysis leads to the estimation and bounding of the “number of effectively independent samples”, or more concisely the “number of effective samples (NES), for integrity and continuity within their respective exposure windows.
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