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Evaluating Integrity and Continuity Over Time in Advanced RAIM

机译:评估高级RAIM中随着时间的完整性和连续性

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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.
机译:C工作组的服务演变小组(SESG)是由美国和E.U公共机构组成的联合技术委员会,旨在促进GPS-Galileo应用的发展,过去几年来一直致力于处理与RAIM的高级开发及其标准化的早期阶段。本文介绍了从操作(即每小时)到算法(每个样本)的完整性和连续性要求的映射。它提供了一种方法,可以随着时间的推移严格考虑多次暴露于危险的误导性事件对完整性风险的影响,以及随着时间的推移对多次检测测试对虚假警报概率的影响。该分析导致“有效独立样本数”,或更简而言之是“有效样本数(NES)”的估计和边界,以确保其各自的曝光窗口内的完整性和连续性。

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