广域差分GPS完好性监测研究
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摘要
为了确保飞行器的飞行安全,使GPS真正成为民用航空导航可用的单一导航系统,需要解决的关键问题是其完好性的问题。本文系统研究了GPS系统完好性监测的接收机自主完好性监测(RAIM)和广域增强系统(WAAS)完好性监测技术,探讨了相应的原理和算法实现等问题。
     本文介绍了WAAS系统完好性监测设计的基本思路,重点阐述了其中的两个主要部分:用户差分伪距(UDRE)和格网点电离层垂直误差(GIVE)算法,UDRE与卫星状况有关,主要包括卫星钟差和星历误差,表达的是在用广域差分改正信息消除电离层误差、对流层误差等误差影响后,测量伪距和计算伪距的差异:RURA则表达的是在不使用广域差分改正信息,而是用模型消除电离层误差、对流层误差等误差影响后,测量伪距和计算伪距的差异。GIVE主要是关于电离层误差,反映的是用广域差分格网点电离层计算出的与用双频计算出的穿透点电离层误差之间的差异。最后用一天的数据进行了具体UDRE、RURA和GIVE的计算。
     本文还分析了接收机自主完好性监测(RAIM)算法的完好性监测,它是基于接收机的冗余观测量的监测算法。理论基础是巴尔达数据探测法的单粗差假设。分别探讨了基于最小二乘残差的RAIM算法和奇偶矢量的RAIM算法,推导了相应的故障检测和故障识别的模型,又从理论上证明这两种方法是相等的,最后用实际算例验证了这两种算法。
     在文章最后介绍了伽利略系统的完好性监测模型和卫星自主完好性监测的思想,它们与目前的监测算法大不相同,是导航系统监测发展的新方向。
Integrity performance is the key to assure the stringent safety requirements of flight, and to take GPS as the sole-means of civil aviation navigation. This paper focuses on the GPS integrity monitoring techniques, including Reciever Autonomous Integrity Monitoring (RAIM), Wide Area Augmentation System (WAAS) Integrity Monitoring. The problem relating to these techniques, such as system designation, theory, algorithms and so on, are studied systematically.
    The princinple of the integrity monitoring structure for WAAS is introduced. The core is focusd on the algorithms for User Differential Range Error (UDRE) and Grid Ionosphere Vertical Error (GIVE). UDRE is related to the status of satellites, including clock errors of satellites and ephemeris errors.And GIVE is mainly about ionospheric errors. Then the algorithm is tested by data of one day. For the lack of WAAS data, the algorithm is just studied to some extent.
    The extensive used RAIM algorithm is analysed in detail. There are two methods: least-square residual errors RAIM and parity vector RAIM. The corresponding failure-detecting and failure- excluding models are deduced. These two methods are testified to be equivalent in theory. Also, both methods are checked by actual data.
    In the end of this paper, Galileo integrity monitoring model and the theory of satellite automatic integrity monitoring are introduced. They are very different with current monitoring algorithms and are the goal of the new development.
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