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The Airborne Ionosphere Anomaly Monitoring Algorithm for Ground Based Augmentation System (GBAS)

机译:基于地面增强系统的空气载体离子层异常监测算法(GBA)

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The current Category-I GBAS architecture uses only single frequency signal, the current architecture may not be able to meet GBAS performance requirements under the large ionospheric gradients because of spatial ionospheric de-correlation between the GBAS ground station and aviation users. In this paper, we propose a RAIM based airborne monitoring algorithm using the differential Hatch filters for ionosphere anomaly detection in position domain to detect more quickly and accurately. In simulation results, it demonstrated that the proposed scheme is capable of detecting ionosphere anomaly on worst cases in 4 seconds.
机译:目前的I类GBAS架构仅使用单频信号,由于GBAS地面站和航空用户之间的空间电离层去相关性,目前的架构可能无法满足大电离层梯度下的GBA性能要求。在本文中,我们使用差动舱口过滤器提出了一种基于Raim的空中监测算法,用于在位置域中进行电离层面检测,以检测更快,准确。在仿真结果中,它证明了所提出的方案能够在4秒内以最糟糕的情况检测电离层异常。

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