【作者】 汪商；

【导师】 严光文；

【作者基本信息】 北京交通大学 ， 电子与通信工程， 2012， 硕士

【摘要】 车辆定位导航问题是智能交通系统(ITS)研究的热点及其重要组成部分,具有重大的现实意义及应用价值。载波相位差分定位技术是智能交通系统中的关键技术之一,它是为提高GPS定位精度而产生和发展起来的,在此基础上逐步完善了差分定位技术(DGPS),这些技术在很大程度上提高了GPS定位精度,拓展了GPS应用范围。本文所做的工作就是对载波相位定位和差分技术进行了系统的探讨,重点研究整周模糊度的解算问题。文章首先介绍了全球定位系统(GPS)的基本组成和功能,分析各种误差对定位精度的影响,讨论了基本的观测模型以及静态和动态定位的原理,对伪距差分和载波相位差分两种基本观测量的定位精度进行比较,分析结果；其次阐述了GPS载波相位差分定位系统的数学模型和工作原理,并用仿真确定了其定位性能；再次研究了载波相位定位中整周模糊度求解的基本思想,分析了常用的静态和动态各种模糊度解算方法,并比较算法的快速解算和应用范围；最后重点对最小二乘降相关平差(LAMBDA)方法进行探讨,给出定位算法实现的流程,并用MATLAB语言进行实验仿真。更多还原

【Abstract】 Vehicle positioning and navigation problem is an important part of Intelligent Transportation System (ITS), and it has great practical significance and value. The carrier phase positioning technology is one of the key technologies in the Intelligent Transportation Systems; it is produced and developed for the exaltation of GPS positioning accuracy. Differential relative positioning of GPS (DGPS) is gradually perfected.. On the basic above, this has enhanced the precision of GPS positioning to a great extent, and also widened the application range of GPS.In this paper, the main work is discussing the method of carrier phase positioning and differential system. The part of inter ambiguity resolution is emphatically discussed. First, this paper introduced the basic components and features of the Global Positioning System (GPS) and analyzed various errors on the positioning accuracy. We discussed the basic observation model and the principle of static and dynamic positioning and compare the pseudo range differential and carrier phase positioning accuracy of the two basic measurements. Second, we elaborated mathematical models and working principle of the GPS carrier phase differential positioning system, and used simulation to determine its positioning performance. Third, we discussed positioning of the carrier phase integer ambiguity and analyzed common methods of static and dynamic variety of ambiguity resolution. Finally, this paper focused on LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) method and has given the process of positioning algorithm and experimental simulation. We can clearly see the result that it improves accuracy of real time positioning.更多还原