多模GNSS接收机RAIM技术研究

发布时间：2018-02-04 06:05

本文关键词： 多模GNSS 接收机自主完备性监测随机搜索故障检测与识别　出处：《中国科学院研究生院（国家授时中心）》2014年硕士论文　论文类型：学位论文

【摘要】：随着全球导航卫星系统的飞速发展，，国际上对多导航系统之间的兼容互操作技术重视度的不断提升，多模导航技术必将是未来发展的主流。当多个系统联合导航时，出现故障卫星的概率增大，对航空安全提出了巨大挑战，因此与用户安全息息相关的完备性问题的解决显得尤为迫切。接收机自主完备性监测(RAIM)技术是常用完备性监测技术的一种，具有对卫星故障识别反应迅速、自主完成且无需外界干预的优点。因此研究多模GNSS接收机RAIM技术对导航卫星系统的建设和评估具有重要意义。目前，多模导航技术是国内外学者研究的热点，但对多模RAIM技术做出系统性研究和分析的却相对较少。因此本文在分析了RAIM技术的原理以及影响其算法性能参数的基础上，提出了多模RAIM算法的实施策略，并从多模与单模卫星导航系统RAIM算法实施中存在的差异入手，建立了多模RAIM算法的通用算法模型，给出了多模RAIM算法的一般流程以及多模导航系统之间数据融合的方法。还将用于单模的传统RAIM算法应用于多模系统，对基于多模的单星故障和双星故障RAIM算法的故障识别过程做了详细的研究分析。同时，针对传统Snapshot RAIM算法存在的故障识别率较低，且只能识别单星故障或双星故障等弊端，对随机搜索RAIM算法进行了改进。改进的算法打破了传统故障识别算法的研究模式，不但简化了故障识别的流程，降低了算法的复杂度和运算量，而且对单模和多模导航系统均适用，且对故障卫星的个数没有限制，增加了RAIM算法的应用广泛性。最后，对研究的基于单星故障、双星故障的RAIM算法和改进的随机搜索RAIM算法进行了仿真验证，仿真结果表明：无论是单星还是多星故障，多模RAIM算法的故障识别率明显优于单模RAIM算法，并且改进的随机搜索RAIM算法在识别性能上较传统算法有明显提高。
[Abstract]:With the rapid development of global navigation satellite system (GNSS), more and more attention has been paid to the compatible and interoperable technology among multi-navigation systems in the world. Multi-mode navigation technology is bound to be the mainstream of future development. When the multi-system combined navigation, the probability of malfunction satellites increases, which poses a great challenge to aviation safety. Therefore, it is urgent to solve the completeness problem, which is closely related to user security. The receiver autonomous completeness monitoring (Ram) technology is one of the commonly used completeness monitoring techniques. It has the advantages of rapid response to satellite fault identification, autonomous completion and no external interference. Therefore, the study of multi-mode GNSS receiver RAIM technology is of great significance to the construction and evaluation of navigation satellite system. At present, multi-model navigation technology is a hot spot of domestic and foreign scholars. However, the systematic research and analysis of multi-mode RAIM technology is relatively few. Therefore, this paper analyzes the principle of RAIM technology and the performance parameters of its algorithm. The implementation strategy of multimode RAIM algorithm is put forward, and the general algorithm model of multimode RAIM algorithm is established based on the difference of RAIM algorithm between multi-mode and single-mode satellite navigation system. The general flow of multimode RAIM algorithm and the method of data fusion between multimode navigation systems are given. The traditional RAIM algorithm for single mode is also applied to multimode system. The fault identification process of RAIM algorithm based on multimode single satellite fault and double star fault is studied and analyzed in detail. At the same time, the traditional Snapshot RAIM algorithm has low fault recognition rate, and can only identify single or double star faults. The improved RAIM algorithm not only simplifies the process of fault identification, but also reduces the complexity and computational complexity of the algorithm. Moreover, it is suitable for both single-mode and multi-mode navigation systems, and has no limitation on the number of faulty satellites, which increases the wide application of RAIM algorithm. Finally, the RAIM algorithm based on single star fault, double star fault and the improved random search RAIM algorithm are simulated and verified. The simulation results show that: single or multi-star fault. The fault recognition rate of the multimode RAIM algorithm is obviously better than that of the single mode RAIM algorithm, and the improved random search RAIM algorithm has better recognition performance than the traditional algorithm.
【学位授予单位】：中国科学院研究生院（国家授时中心）
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P228.4

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