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Research on Multi Satellite Failure Detection and Recognition Method of Satellite Navigation RAIM

机译:卫星导航风格多卫星故障检测与识别方法研究

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Satellite Navigation Receiver Autonomous Integrity Monitoring (RAIM) is developed for detection and recognition of satellite faults using the redundant observation values of receiver itself. This article first makes a comparative analysis to the conventional and recently proposed RAIM fault detection and identification methods, and then points out that the conventional fault identification methods have such weakness as low fault detection probability and high false alarm probability in the situation of simultaneous multiple faulty satellites, while the recently proposed multi-satellite fault identification methods require excessive computation work though enjoy a higher detection probability. To solve these problems, a new RAIM multiple satellite fault detection and recognition method is proposed in this paper, which is characterized by high detection probability, low false alarm probability and low computation load, practicable for project implementation. Based on a simulation analysis, it turns out that this method has a higher detection probability without false alarm at all. This method requires so low computation work that it only needs 2 m times of least squares residuals fault detection and m times of fault identification in m (m > 0) faulty satellites situation, showing a very promising application value.
机译:卫星导航接收器自主完整性监测(RAIM)是开发用于使用Receiver本身的冗余观测值检测和识别卫星故障的检测和识别。本文首先对传统和最近提出的RAIM故障检测和识别方法进行了比较分析,然后指出传统的故障识别方法在同时发出多个故障情况下具有低故障检测概率和高误报概率的弱点卫星,而最近提出的多卫星故障识别方法需要过多的计算工作,但虽然享受更高的检测概率。为解决这些问题,本文提出了一种新的Raim多卫星故障检测和识别方法,其特点是高检测概率,低误报概率和低计算负荷,可用于项目实现。基于仿真分析,事实证明,该方法具有更高的检测概率,而没有误报。该方法需要如此低的计算工作,即它仅需要2米的最小二乘剩余故障检测和M(m> 0)故障卫星情况的M次故障识别,显示出非常有前途的应用价值。

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