端到端ARAIM演示器:magicARAIM套件

Guillermo Fernández, J. G. Pericacho, Konrad Janicki, José Celada, Fernando Bravo, M. Fernández, David Rodríguez, V. M. Esteban, J. Barrios
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引用次数: 1

摘要

目前,ABAS(基于飞机的增强系统)由RAIM(接收机自主完整性监测)覆盖,它可以确保飞机从GPS卫星接收到的导航信息的完整性,用于非精确进近服务。接收机考虑一组关于单频GPS卫星标称性能和故障概率的固定断言来执行完整性检查。ARAIM(高级接收机自主完整性监测)解决方案是传统RAIM概念的演变,提供了一种机制来更新与GNSS核心星座故障率相关的信息。为了计算这些信息,地面段基础设施应负责监测GNSS星座,计算和编纂ARAIM完整性支持信息或ISM。ARAIM业务将传统的单星座、单频RAIM解决方案扩展为全球多星座、双频接收机概念。定义了不同的ARAIM架构:•水平ARAIM。该服务旨在支持水平导航(RNP 0.3和RNP 0.1)。ISM的生成基于离线监测,用于建立对星座性能的信任。水平ARAIM ISM参数不考虑在短时间尺度(~1年)内发生变化。•离线ARAIM。该服务旨在支持低至LPV-200的水平和垂直导航。它使用与水平ARAIM相同的ISM参数,具有更高的更新(~1个月)和类似的用户算法扩展以提供垂直制导。•在线ARAIM支持低至LPV-200的水平和垂直导航。除了与其他ARAIM服务相同的完整性和故错率信息外,ISM消息还包含对核心GNSS星座广播的星历和时钟数据的更正。修正的传输意味着ISM信息不再是GNSS星座的误差特征,而是ARAIM服务的误差特征。在此背景下,GMV开发了magicARAIM套装。该平台包括ISM生成、性能监控和用户终端。因此,它提供了一个端到端的测试平台环境,能够支持面向ARAIM服务(包括离线和在线ARAIM)及其用户部分的开发的权衡。在这方面,本文旨在:•介绍和介绍不同的ARAIM服务。•描述magicARAIM端到端平台,包括ISM的生成和相关的分析工具。•介绍使用magicARAIM套件进行的不同实验。•为离线ARAIM实验提供可实现的性能,包括数据采集、数据处理和结果分析。•基于在线ARAIM架构的RT CORS站处理,在平台上运行实验并考虑GPS和GALILEO双频场景时,呈现可实现的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
End-to-End ARAIM demonstrator: magicARAIM suite
Currently, ABAS (aircraft based augmentation system) is covered by RAIM (Receiver Autonomous Integrity Monitoring), which allows assuring the integrity of the navigation information received by the aircraft from GPS satellites for non-precision approach services. The receivers perform integrity checks considering a set of fixed assertions regarding the nominal performances and probability of faults for single-frequency GPS satellites. ARAIM (Advanced Receiver Autonomous Integrity Monitoring) solution consists of an evolution of the traditional RAIM concept providing a mechanism to update the information related to the fault rates of GNSS core constellations. To compute this information, a ground segment infrastructure shall be responsible for monitoring the GNSS constellations, computing and codifying the ARAIM integrity support message or ISM. ARAIM service expands the traditional single-constellation, single-frequency RAIM solution towards a world-wide and the multi-constellation, dual-frequency receiver concept. Different ARAIM architectures have been defined: •Horizontal ARAIM. This service aims to support horizontal navigation (RNP 0.3 and RNP 0.1). The ISM generation is based on an off-line monitoring used to establish trust in the constellation performance. Horizontal ARAIM ISM parameters are not considered to change over short time scales (~1 year). •Off-line ARAIM. This service aims to support horizontal and vertical navigation down to LPV-200. It uses the same ISM parameters as horizontal ARAIM with higher update (~1 month) and a similar user algorithm extended to provide vertical guidance. •On-line ARAIM to support horizontal and vertical navigation down to LPV-200. Additional to the same integrity and fault rates information as the other ARAIM services, the ISM message contains corrections to ephemeris and clock data broadcast by the core GNSS constellations. The transmission of corrections means that the ISM information is no longer the error characterization of the GNSS constellation but that of the ARAIM service. In this context, GMV has developed the magicARAIM suit. The platform covers the ISM generation, performance monitoring and a user terminal. As a consequence, it provides an end-to-end testbed environment capable of supporting trade-offs oriented both to the development of the ARAIM service (including Off-line and On-line ARAIM) and its user segment. At this respect, the present paper aims to: •Introduce and present the different ARAIM services. •Describe magicARAIM end-to-end platform, including the ISM generation and the associated analysis tools. •Present the different experimentation performed using magicARAIM suite. •Present achievable performances for an Off-line ARAIM experimentation, including data acquisition, data processing and result analysis. •Present achievable performances when running experimentations with the platform and considering GPS and GALILEO dual-frequency scenarios based on RT CORS stations processing for an On-line ARAIM Architecture.
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