本文關(guān)鍵詞： 多模GNSS 接收機(jī)自主完備性監(jiān)測(cè) 隨機(jī)搜索 故障檢測(cè)與識(shí)別　出處：《中國(guó)科學(xué)院研究生院（國(guó)家授時(shí)中心）》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著全球?qū)Ш叫l(wèi)星系統(tǒng)的飛速發(fā)展，，國(guó)際上對(duì)多導(dǎo)航系統(tǒng)之間的兼容互操作技術(shù)重視度的不斷提升，多模導(dǎo)航技術(shù)必將是未來(lái)發(fā)展的主流。當(dāng)多個(gè)系統(tǒng)聯(lián)合導(dǎo)航時(shí)，出現(xiàn)故障衛(wèi)星的概率增大，對(duì)航空安全提出了巨大挑戰(zhàn)，因此與用戶安全息息相關(guān)的完備性問(wèn)題的解決顯得尤為迫切。接收機(jī)自主完備性監(jiān)測(cè)(RAIM)技術(shù)是常用完備性監(jiān)測(cè)技術(shù)的一種，具有對(duì)衛(wèi)星故障識(shí)別反應(yīng)迅速、自主完成且無(wú)需外界干預(yù)的優(yōu)點(diǎn)。因此研究多模GNSS接收機(jī)RAIM技術(shù)對(duì)導(dǎo)航衛(wèi)星系統(tǒng)的建設(shè)和評(píng)估具有重要意義。 目前，多模導(dǎo)航技術(shù)是國(guó)內(nèi)外學(xué)者研究的熱點(diǎn)，但對(duì)多模RAIM技術(shù)做出系統(tǒng)性研究和分析的卻相對(duì)較少。因此本文在分析了RAIM技術(shù)的原理以及影響其算法性能參數(shù)的基礎(chǔ)上，提出了多模RAIM算法的實(shí)施策略，并從多模與單模衛(wèi)星導(dǎo)航系統(tǒng)RAIM算法實(shí)施中存在的差異入手，建立了多模RAIM算法的通用算法模型，給出了多模RAIM算法的一般流程以及多模導(dǎo)航系統(tǒng)之間數(shù)據(jù)融合的方法。還將用于單模的傳統(tǒng)RAIM算法應(yīng)用于多模系統(tǒng)，對(duì)基于多模的單星故障和雙星故障RAIM算法的故障識(shí)別過(guò)程做了詳細(xì)的研究分析。 同時(shí)，針對(duì)傳統(tǒng)Snapshot RAIM算法存在的故障識(shí)別率較低，且只能識(shí)別單星故障或雙星故障等弊端，對(duì)隨機(jī)搜索RAIM算法進(jìn)行了改進(jìn)。改進(jìn)的算法打破了傳統(tǒng)故障識(shí)別算法的研究模式，不但簡(jiǎn)化了故障識(shí)別的流程，降低了算法的復(fù)雜度和運(yùn)算量，而且對(duì)單模和多模導(dǎo)航系統(tǒng)均適用，且對(duì)故障衛(wèi)星的個(gè)數(shù)沒(méi)有限制，增加了RAIM算法的應(yīng)用廣泛性。 最后，對(duì)研究的基于單星故障、雙星故障的RAIM算法和改進(jìn)的隨機(jī)搜索RAIM算法進(jìn)行了仿真驗(yàn)證，仿真結(jié)果表明：無(wú)論是單星還是多星故障，多模RAIM算法的故障識(shí)別率明顯優(yōu)于單模RAIM算法，并且改進(jìn)的隨機(jī)搜索RAIM算法在識(shí)別性能上較傳統(tǒng)算法有明顯提高。
[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.
【學(xué)位授予單位】：中國(guó)科學(xué)院研究生院（國(guó)家授時(shí)中心）
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：P228.4

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