Additional SQM metrics for generic TM detection

J. Pagot, O. Julien, Ikhlas Selmi
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引用次数: 1

Abstract

The ICAO Threat Model describes three cases of distortions that can occur on GPS L1 C/A signals. It defines digital and analog failures that may occur on the satellite payload. To cover a wider area of possible distortions, a Generic Threat Model (TM) based on the Fourier Transform of the signal distortions is proposed. Then, the distortion effects have to be detected and mitigated through Signal Quality Monitoring (SQM) algorithm, which is implemented on SBAS and GBAS ground infrastructures. The basic form of SQM uses simple metrics based on correlator outputs that are normalized by the correlation function prompt. Those normalized outputs can be used directly as a simple ratio metrics. They can also be combined to compute difference or sum metrics between symmetric correlator outputs pairs (with respect to the prompt) [1]. In this paper, an extended set of metrics is tested. It includes simple ratio, sum and difference between all monitored correlator outputs. The influence of several parameters related to correlator output positions is studied. The benefits provided by these new metrics compared to a baseline SQM are assessed and conclusions on the performed SQMs are made. The carried out tests are applied to Galileo E1 OS signals.
用于通用TM检测的附加SQM指标
ICAO威胁模型描述了GPS L1 C/A信号可能发生的三种失真情况。它定义了可能发生在卫星有效载荷上的数字和模拟故障。为了覆盖更大范围的可能失真,提出了一种基于信号失真傅里叶变换的通用威胁模型。然后,通过在SBAS和GBAS地面基础设施上实现的信号质量监测(SQM)算法来检测和减轻失真影响。SQM的基本形式使用基于相关器输出的简单度量,这些输出由相关函数提示符规范化。这些归一化的输出可以直接用作简单的比率度量。它们也可以组合起来计算对称相关器输出对之间的差分或求和指标(相对于提示符)[1]。本文对一组扩展的度量进行了测试。它包括所有被监测相关器输出之间的简单比率、和和差。研究了与相关器输出位置有关的几个参数的影响。与基线SQM相比,评估了这些新度量所提供的好处,并对所执行的SQM做出了结论。所进行的测试应用于伽利略E1操作系统信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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