MATLAB基于北斗的低轨卫星定轨技术研究
本次实验中，首先在查得北斗导航系统的35颗卫星的基本参数后，运用STK卫星工具包在其中对北斗导航系统进行仿真，并得到北斗卫星系统对目标低轨卫星的可见情况。得到数据后。运用MATLAB对由公式推论出的轨道在之前获得的运行数据下进行卡尔曼滤波。得到最后的结果，再比较实验观测值，获得误差。
经过扩展卡尔曼滤波（EKF）之后，获得的低轨卫星轨道数据，与观测获得的轨道数据基本符合，误差较小。19150
关键词 北斗导航 低轨定位 卡尔曼滤波 STK MATLAB
毕业设计说明书（论文）外文摘要
Title LEO satellite orbit determination based on Beidou navigation system
Abstract
This paper introduces the composition of beidou satellite navigation system, working principle, the function and role, and its development and significance.The paper also introduces the Kalman filter algorithm, including the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF).The advantages and disadvantages of UKF and EKF is also introduced in the paper ,as well as their applicable situation.In addition, this study uses two softwares.They are STK and Matlab.
In this experiment,firstly,I search for the basic paramenters of the thirty-five satelites of BeiDou Navigation Satellite System(BDS). Secondly,I make the simulation of BeiDou Navigation Satellite System by the STK.And then I get the visibility of the BDS and LEO satelite and related data and charts.Finally,According to the data by the second step,I make the simulation of the EKF of the LEO satelite by the Matlab.Then,after getting the charts and data of the simulation,I compare the observed value with the estimated value. Then I get the error of the estimated value.
After completing the EKF ,I get the graph of the low-orbit satellites ,recording to the observed value and estimated value. Then I get the conclusion,that there is so little difference between the observed and estimated value. So the error of the filter is small.
Keywords beidou navigation system LEO positioning kalman filtering
STK MATLAB
目 次
1 绪论 1
1．1 课题的研究背景 1
1．2 国内外研究进展 1
1．3 课题研究的目的和意义 2
1．4 论文结构安排 3
2 北斗卫星导航系统 4
2．1 北斗卫星导航系统简介 4
2. 1. 1 北斗卫星导航系统的组成 4
2. 1. 2 北斗卫星导航系统基本定位原理 4
2. 2 低轨卫星及其定轨方法 5
3 北斗卫星对低轨卫星的可见性研究 6
3. 1 Satellite Tool Kit（STK）卫星工具包 6
3. 2 利用STK得到北斗卫星对低轨卫星的可见性 6
3. 2. 1 STK中北斗卫星系统及低轨卫星轨道的模拟 6
3. 2. 2 北斗卫星对低轨卫星的可见度 11