Correlation Analysis for Fault Detection Statistics in Integrated GNSS/INS Systems
Correlation Analysis for Fault Detection Statistics in Integrated GNSS/INS Systems
复制标题
集成 GNSS/INS 系统中故障检测统计的相关分析
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
T. Tsujii
中科院分区：
文献类型：
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作者：
Jinling Wang;A. Almagbile;Youlong Wu;T. Tsujii
全球卫星导航系统(GNSS)已被广泛用于定位、导航和授时(PNT)。因此，卫星导航系统的完整性一直是许多关键应用的主要关注点，例如民航和基于位置的服务(LBS)。在过去二十年中，已经制定了GNSS接收器自主完整性监测程序，但这种程序的效率在很大程度上取决于GNSS定位解决方案中的测量冗余和几何强度。PNT系统的可靠性不仅可以通过众所周知的最小可检测偏差(MDB)来衡量，还可以通过最近导出的用于测量的最小可分离偏差(MSB)来衡量。虽然以前的研究表明，MSB与故障测量检测统计量之间的相关性直接相关，但对于故障(或离群值)检测统计量之间的这种相关性，即使对于常用的GNSS/INS组合方案，也仍然缺乏全面的分析。在这项研究中，我们已经证明，在惯性传感器的帮助下，即使使用低成本的MEMS传感器，测量故障检测统计量之间的MDB和相关系数也可以显著降低，从而提高了GNSS测量中故障的可分离性。
Global Satellite Navigation Systems (GNSS) have been widely used for positioning, navigation and timing (PNT). Therefore, the integrity of the satellite based navigation systems has been a major concern for many liability critical applications, such as civil aviation, and location-based services (LBS). Over the past two decades, GNSS Receiver Autonomous Integrity Monitoring (RAIM) procedures have been developed, but the efficiency of such procedures is highly dependent on measurement redundancy and geometric strength within the GNSS positioning solutions. Reliability of a PNT system can be measured by, not only the wellknown Minimal Detectable Biases (MDBs), but also the recently derived Minimal Separable Biases (MSBs) for the measurements. While the previous research has shown that the MSBs are directly related to the correlations between the faulty measurement detection statistics, a comprehensive analysis for such correlations between fault (or outlier) detection statistics is still lacking, even for commonly used GNSS/INS integration scenarios. In this research, we have demonstrated that with the aid of inertial sensors, even with low-cost MEMS sensors, the MDBs and correlation coefficients between the measurement fault detection statistics can be significantly reduced, thus improving the separability of faults in GNSS measurements.