GNSS/INS集成系统的GNSS卫星故障检测与排除

Birendra Kujur, Samer Khanafseh, Boris Pervan
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引用次数: 0

摘要

在这项工作中,我们提出了一种全球导航卫星系统(GNSS)卫星故障检测、识别和排除方法,用于集成GNSS/惯性导航系统(INS)紧密耦合的导航体系结构。以观测到的卫星断层剖面和震级为基准设计监测仪。利用每个卫星的归一化创新来观测每个信道上各自的卫星故障。利用广义似然比检验(GLRT)导出了每个卫星信道的充分检验统计量。我们开发了一种方法来量化漏检率给定的断层轮廓和震级。这种开发的方法能够提供仅使用ins的滑行解决方案的保护级别。我们还描述了一种识别和排除方法,该方法使用监视器的连续窗口,而无需运行并行卡尔曼滤波器(KF)。我们通过模拟故障场景验证了开发的检测、识别和排除故障卫星的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GNSS Satellite Fault Detection and Exclusion for Integrated GNSS/INS Systems
In this work, we present a Global Navigation Satellite Systems (GNSS) satellite fault detection, identification, and exclusion method for an integrated GNSS/Inertial Navigation System (INS) tightly-coupled navigation architecture. Observed satellite fault profiles and magnitudes are taken as a baseline to design the monitor. Normalized innovations for each satellite are utilized to observe the respective satellite faults on each channel. A sufficient test statistic for each satellite channel is derived using the generalized likelihood ratio test (GLRT). We develop a method for quantifying missed detection rates given fault profile and magnitude. This developed methodology is capable of providing protection levels using the INS-only coasting solution. We also describe an identification and exclusion method using consecutive windows of the monitor without the need for running parallel Kalman filters (KF). We validate the developed algorithm for the detection, identification and exclusion of faulty satellites using simulated fault scenarios.
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