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Research on Exact Thresholds for ARAIM MHSS Fault Monitoring

机译：ARAIM MHSS故障监控的精确阈值研究

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摘要

Multiple Hypothesis Solution Separation (MHSS) is the baseline algorithm for Advanced Receiver Autonomous Integrity Monitoring (ARAIM), and it detects faults by comparing the test statistic with a threshold. However, the cuboid threshold structure of the MHSS fault monitoring baseline algorithm lacks omnidirectionality, which leads to low conformity between the threshold and the spatial distribution of the test statistic and to low fault monitoring accuracy. To resolve these problems, we analyzed the distribution of a test statistic for single-, double-, and triple-fault hypotheses. By extracting the eigenvectors and eigenvalues of the solution separating variance, we designed an omnidirectional threshold structure. The simulation verifies the effectiveness of the fault detection method by detecting faults from noise. The results show that the proposed method is more exact, stable, and applicable than the MHSS fault detection baseline.
机译：多个假设解决方案分离（MHSS）是高级接收方自主完整性监控（ARAIM）的基线算法，通过将测试统计数据与阈值进行比较来检测故障。然而，MHSS故障监测基线算法的长方体阈值结构缺乏全向量，这导致测试统计的阈值和空间分布之间的低符合性和低故障监测精度。为了解决这些问题，我们分析了单，双故障假设的测试统计的分布。通过提取溶液分离方差的特征向量和特征值，我们设计了一个全向阈值结构。模拟通过检测来自噪声的故障来验证故障检测方法的有效性。结果表明，该方法更精确，稳定，可应用于MHSS故障检测基线。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|6471790.1-6471790.17|共17页
  • 作者

    Zhang Sida; Wang Zhipeng; Gao Zhen;

  • 作者单位

    Beihang Univ Sch Elect & Informat Engn Natl Key Lab CNS ATM Beijing 100191 Peoples R China;

    Beihang Univ Sch Elect & Informat Engn Natl Key Lab CNS ATM Beijing 100191 Peoples R China;

    Beihang Univ Sch Elect & Informat Engn Natl Key Lab CNS ATM Beijing 100191 Peoples R China;

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