毕业设计（论文）-基于GPS定位结果的消噪滤波研究精选.doc

编号： 毕业设计(论文)说明书 题 目： 基于GPS定位结果 的消噪滤波研究 院 （系）： 国家空间卫星导航研究所 专 业： 电子信息工程 学生姓名： 学 号： 指导教师： 职 称： 教 授 题目类型： 理论研究 实验研究 工程设计 工程技术研究 软件开发 20年 月 日摘 要 随着科学技术的发展，GPS导航和定位技术已向高精度、高动态的方向发展。尤其是测量随机误差和卫星的几何位置误差，使定位精度受到影响。利用传统的方法很难消除利用特定的滤波方法消除各种随机误差，从而提高GPS导航定位精度。采用时域状态空间法，适合于多变量系统和时变系统及非平稳随机过程，其递推特点容易在计算机上实现，因此得到广泛的应用利用MATLAB软件的去噪效果进行研究并对滤波前后的定位精度进行比较IMM；GPS；LS；KAbstract With the development of science and technology, GPS navigation and positioning technology has high accuracy, high dynamic direction. Satellite global positioning system (GPS) has been in the aviation, marine and land vehicle navigation to get a wide range of applications. However, in terms of its accuracy, the signal from the GPS satellite to the receiver there are many sources of error, especially in measuring the geometric random errors and satellite position errors affect positioning accuracy. Difficult to eliminate the use of traditional methods, have to use a specific filter to eliminate all kinds of random error, thereby improving positioning accuracy of GPS navigation. The Kalman filter in the process of solving not need to store large amount of observational data, and when the new observation data obtained when the filter parameters can be calculated the value of the new, easy to handle real-time observations. And time domain state space method suitable for multivariable systems and time-varying systems and non-stationary random process, the recursive feature easily implemented on a computer, is a recursive optimal estimation algorithm for real-time, so widely applied . This thesis is the use of MATLAB software, GPS positioning results of analysis of the effects of noise reduction, and the positioning accuracy before and after filtering were compared. First, the analysis of principles and error sourc