本文關鍵詞： 完好性 GNSS RAIM 廣域增強系統(tǒng) SISE　出處：《長安大學》2013年碩士論文　論文類型：學位論文

【摘要】：隨著GNSS技術在世界范圍內(nèi)的迅速發(fā)展，GNSS技術在公共運輸領域特別是在生命安全相關行業(yè)中的應用日益廣泛，使人們對其導航性能中完好性的要求愈加嚴格，以保障導航定位安全。因此，本文針對此方面開展了系列研究，主要的研究工作和成果如下： （1）系統(tǒng)討論了目前GNSS完好性監(jiān)測技術的理論和方法，將其分為衛(wèi)星端完好性監(jiān)測、地面端完好性監(jiān)測和用戶端完好性監(jiān)測三類。重點分析了地面端和用戶端的完好性監(jiān)測技術，其中包括接收機端自主完好性監(jiān)測、廣域增強系統(tǒng)完好性監(jiān)測及Galileo系統(tǒng)完好性監(jiān)測技術，，并對其中算法和相關問題進行仿真和討論。 （2）論述了接收機端完好性監(jiān)測模型及算法，指出GPS/GLONASS組合較GPS單系統(tǒng)在可用性及RAIM空洞預報方面有較大優(yōu)勢。研究了RAIM的基礎算法，提出基于滑動開窗的RAIM算法，通過算例分析可知該算法比通常的RAIM算法無論在可用性判斷上，還是故障檢測與識別方面都有較大優(yōu)勢。最后介紹了測時完好性監(jiān)測理論和方法，通過基于滑動開窗RAIM算法的測時算法與普通的測時完好性算法進行仿真對比，發(fā)現(xiàn)前者在各項指標上依然具有較大優(yōu)勢。 （3）介紹了GPS廣域增強系統(tǒng)完好性監(jiān)測的主要流程，對WAAS系統(tǒng)完好性監(jiān)測的主要參數(shù)UDRE與GIVE進行理論和算法分析。同時對相關的RURA與UIVE參數(shù)的模型與算法進行介紹分析。對上述完好性參數(shù)進行仿真分析，可知在參考站數(shù)目較少的情況下，UDRE和GIVE會出現(xiàn)不可用的情況，無法滿足WAAS對其要求。 （4）對Galileo系統(tǒng)完好性監(jiān)測體系進行了詳細介紹，并給出Galileo系統(tǒng)完好性監(jiān)測的主要指標參數(shù)：空間信號誤差SISE，空間信號誤差精度SISA，空間信號監(jiān)測精度SISMA。重點分析了此三種完好性參數(shù)的理論與算法，通過仿真可知，僅利用監(jiān)測區(qū)域內(nèi)少量的監(jiān)測站，無法滿足Galileo系統(tǒng)完好性監(jiān)測的要求，但可增加監(jiān)測站數(shù)目，提高完好性監(jiān)測指標。
[Abstract]:With the rapid development of GNSS technology in the world, it is widely used in the field of public transportation, especially in life safety related industries. In order to ensure the safety of navigation and positioning, a series of research is carried out in this paper. The main research work and results are as follows: In this paper, the theory and method of GNSS integrity monitoring technology are systematically discussed, which can be divided into satellite side integrity monitoring. There are three types of land-based integrity monitoring and client integrity monitoring. The paper focuses on the analysis of the terrestrial and user side of the integrity monitoring technology, including the receiver side of the autonomic integrity monitoring. Wide-area enhancement system integrity monitoring and Galileo system integrity monitoring technology, and the algorithm and related issues are simulated and discussed. (2) the model and algorithm of receiver integrity monitoring are discussed. It is pointed out that GPS/GLONASS combination has more advantages than GPS single system in usability and RAIM cavity prediction. The basic algorithm of RAIM is studied. The RAIM algorithm based on sliding window opening is proposed, and the example analysis shows that the algorithm is better than the usual RAIM algorithm in usability judgment. Or fault detection and identification have a great advantage. Finally, the theory and method of timing integrity monitoring are introduced. Through the comparison of the time measurement algorithm based on sliding window RAIM algorithm and the common time measuring completion algorithm, it is found that the former still has great advantages in each index. The main process of GPS wide area enhancement system integrity monitoring is introduced. The main parameters of WAAS system integrity monitoring, UDRE and GIVE, are analyzed in theory and algorithm. At the same time, the models and algorithms of RURA and UIVE parameters are introduced and analyzed. The good parameters are simulated and analyzed. It is known that the UDRE and GIVE will not be available when the number of reference stations is small, which can not meet the requirements of WAAS. In this paper, the integrity monitoring system of Galileo system is introduced in detail, and the main index parameter of Galileo system integrity monitoring is given: spatial signal error SISE. Spatial signal error accuracy Sisa and spatial signal monitoring precision SISMA.Through analyzing the theory and algorithm of these three perfect parameters, we can know by simulation that only a few monitoring stations are used in the monitoring area. It can not meet the requirements of Galileo system integrity monitoring, but can increase the number of monitoring stations and improve the integrity monitoring index.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P228.4

【引證文獻】

相關博士學位論文 前1條

1 牛飛;GNSS完好性增強理論與方法研究[D];解放軍信息工程大學;2008年

本文編號：1481300