北斗导航定位系统关键技术研究

发布时间：2018-04-09 12:41

本文选题：北斗卫星导航定位系统　切入点：北斗定位接收机　出处：《西安电子科技大学》2014年硕士论文

【摘要】：北斗卫星导航定位系统是我国自主研发的卫星导航定位系统，具有完全的独立自主性，最终目标是提供全球范围内的定位服务，由于定位导航系统在社会各个领域的作用愈显明显，北斗卫星导航定位系统的研究愈发重要。本文首先介绍了北斗卫星导航定位系统的基本原理，包括跟北斗信号通信相关的通信知识，还有北斗卫星导航定位系统的定位原理。然后，介绍了一种北斗卫星接收机的实现办法，简要介绍了其硬件结构后，详细介绍了其软件系统的设计，包括系统的选择和部分界面的设计。随后，我们分析了造成北斗系统定位误差的因素，针对每一个因素，介绍了提高定位精度的措施。最后，主要对北斗接收机定位解算算法进行了简要的分析，首先是利用最小二乘迭代法进行定位解算，为了提高解算效率，又研究了卡尔曼滤波法进行定位解算，但是以上两种方式是线性系统的处理方法，，由于北斗的定位解算模型是非线性的，我们又研究了扩展卡尔曼滤波法和无迹卡尔曼滤波法，两种算法的定位精度和计算速度均优于以上两种算法。
[Abstract]:Beidou Satellite Navigation and Positioning system is a independently developed satellite navigation and positioning system in China. It is completely independent and autonomous. The ultimate goal is to provide positioning services on a global scale.The research of Beidou satellite navigation and positioning system becomes more and more important because the role of positioning and navigation system is more and more obvious in various fields of society.This paper first introduces the basic principles of Beidou satellite navigation and positioning system, including the communication knowledge related to Beidou signal communication, and the positioning principle of Beidou satellite navigation and positioning system.Then, this paper introduces a method to realize the Beidou satellite receiver, briefly introduces its hardware structure, and then introduces the design of its software system in detail, including the selection of the system and the design of some interfaces.Then, we analyze the factors that cause the positioning error of Beidou system, and introduce the measures to improve the positioning accuracy for each factor.Finally, a brief analysis of the Beidou receiver positioning solution method is given. Firstly, the least square iterative method is used to solve the problem. In order to improve the efficiency of the algorithm, the Kalman filter method is also studied.However, the above two methods are the processing methods of linear systems. Since the Beidou location solution model is nonlinear, we also study the extended Kalman filtering method and the unscented Kalman filter method.The positioning accuracy and computing speed of the two algorithms are better than those of the above two algorithms.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN96.1

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