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A New Multiple Hypothesis RAIM Algorithm: Direct Estimation of a Fault Vector with an RRAIM Concept

机译:一种新的多假设Raim算法:带法概念的故障向量直接估计

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In the next years, it is expected that dramatically improved capability for Global Navigation Satellite System (GNSS) will be available which will include multiple-frequency civil signals and multiple-constellations (Galileo, a renewed GLONASS, and Compass). To provide robust LPV-200 service worldwide, new Receiver Autonomous Integrity Monitoring (RAIM) algorithms are being developed by various research groups (GEAS, 2008), (Todd Walter et al, 2010), (Livio Gratton et al, 2010). Most of these algorithms assume single satellite failure condition. However the definition of failures would be changed, because the accuracy will be improved, the threshold for failure detection will be reduced. As a result, the prior probability of failures could be larger than what we used now. Furthermore, increased number of ranging sources due to new GNSS constellation makes it necessary to consider the possibility of simultaneous multiple failures. This paper develops and analyzes a new RAIM algorithm as a candidate of future architecture of RAIM algorithm which can treat not only a single failure but also simultaneous multiple failures. A proposed algorithm uses measurements residuals and satellite observation matrices of several consecutive epochs for multiple Failures Detection and Exclusion (FDE). This new concept of FDE was firstly proposed by (Martini and Hein, 2006). It can detect multiple failures without limitation of number of faulty measurements. However the magnitude of Minimum Detectable Bias (MDB) is in the order of 5km with detection latency of 2 to 5 seconds, so that it is hard to be implemented in Safety Of Life (SOL) applications. This paper proposes a new FDE algorithm modified to have no detection latency by estimating the current error vector using the measurements of current and past epochs. In order to make the MDBs have smaller values so that it can be applied to practical application, we adopted Relative RAIM (RRAIM) scheme for navigation and protecting users against system failures. In this paper, we give detailed explanation of the FDE algorithms with rigorous mathematical expression. Simulation results show that proposed algorithm can detect and exclude the multiple failures of tens of meters depending on satellite geometry.
机译:在未来几年,预计显着改善了全球导航卫星系统(GNSS)的能力将提供其中将包括多频民用信号和多星座(伽利略,重新GLONASS,北斗及)。为了提供强大的LPV-200服务全球,新的接收机自主完整性监控(RAIM)算法正在被各种研究小组(GEAS,2008年),开发(托德Walter等,2010),(利维奥格拉顿等,2010)。大多数这些算法假定单个卫星失效情况。然而故障的定义将被改变,因为准确度将得到改善,对于故障检测阈值将减小。其结果是,失败的先验概率可能比我们现在使用的大。此外,增加了测距源数量由于新的GNSS星群使我们有必要考虑的同时进行多个故障的可能性。本文建立并分析了一个新的RAIM算法RAIM算法可以治疗不仅是一个单一的故障,但同时也多次失败的未来架构的候选。甲算法使用的测量残差和若干连续历元的卫星观测矩阵对多个故障检测和排除(FDE)。这种新的FDE的概念首先由(马天尼和海因,2006年)提出的。它可以检测多种故障,又不会导致测量误差的数量的限制。然而最小可检测偏压(MDB)的大小是与的2〜5秒的检测延迟5公里的顺序,所以,这是很难在(SOL)的应用程序的安全寿命得以实施。本文提出了通过估计使用当前和过去的历元的测量的电流误差向量修改成具有没有检测延迟一个新FDE算法。为了使多边开发银行有较小的值,以便它可以被应用到实际应用中,我们采用相对RAIM(RRAIM)方案用于导航和保护用户免受系统故障。在本文中,我们给出了严谨的数学表达式FDE算法的详细说明。仿真结果表明,该算法可以检测并排除几十取决于卫星几何米的多次失败。

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