Description: 本文的题目是改进的粒子滤波在组合导航中的应用研究。文档可用caj打开。
本课题首先研究了GPS/DR车载定位系统的组合模型，然后在分析了非线性滤波的基础上，引入了粒子滤波。粒子滤波是一种基于递推计算的序列蒙特卡罗算法，它采用一组从概率密度函数上随机抽取的并附带相关权值的粒子集来逼近后验概率密度，从而不受非线性、非高斯问题的限制。虽然粒子滤波存在诸多优点，然而它仍然存在诸如粒子数匿乏、滤波性能不高、实时性差等问题。-The title of this article is to improve the particle filter in the navigation of the applied research. CAJ can be used to open the document. This issue initially on the GPS/DR Vehicle Location System portfolio model, and then the analysis of nonlinear filtering based on the introduction of a particle filter. Particle filter is a recursive calculation based on Sequential Monte Carlo algorithm, it uses a set of probability density function from random samples and weights attached to the relevant set of particles to approximate a posteriori probability density, and thus not subject to non-linear, the issue of non-Gaussian constraints. Although there are many advantages of particle filter, yet it still exists, such as particle number Punic poor, filter performance is not high, real-time poor. Platform: |
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Author:阳关 |
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Description: 用于GPS定位，载入强机动运动载体，实时进行跟踪，并显示所用定位卫星个数及编号。采用的算法参照其中的PDF文档编写，令有模糊选星法。可以显示不同选星方法的GDOP值及选星所用时间-Used for GPS positioning, strong motor moving vehicle load, real-time tracking, and display the number of satellites used for positioning and number. Algorithm is used in reference to which the PDF documents to prepare, so that there are fuzzy star selection method. Can show different methods of election stars GDOP value and the selected satellite time spent Platform: |
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Author:刘卫菠 |
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Description: GPS定位中调用的选星子程序，依据每颗卫星贡献的GDOP值的大小进行选星，其中又分为递推选星和直接选星。考虑到机动载体存储空间限制，选星为4颗或6颗。而6颗卫星的GDOP值更接近所有卫星时的值，且计算量小。-GPS positioning called planetesimals selection process, based on the contribution of each satellite GDOP value of the selected size of stars, which are divided into the selection of satellite delivery, and direct elections stars. Taking into account the motor vehicle storage space constraints, the election of four stars, or 6. The six satellites, GDOP value is closer to the value of all the satellites, and the computation amount. Platform: |
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Author:刘卫菠 |
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Description: 这个是关于车辆GPS与DR组合导航滤波算法的Matlab源代码，对于最优估计和组合导航有较好参考价值-This is about the vehicle GPS and DR integrated navigation filtering algorithm Matlab source code for optimal estimation and navigation have better reference value Platform: |
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Author:李成冀 |
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Description: 把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中，接收机天线固联在实验车实验仓上方，车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据，在郊外开阔公路进行车载实验。
通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。
1）卫星导航单点定位测速：利用采集得到的接收机时间、伪距、多普勒频移数据，要求进行单点定位、测速解算，输出接收机的位置、速度随时间的变化曲线，并给出位置、速度误差曲线；
2）松组合导航：结合惯导解算和卫星接收机单点定位测速，要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算，滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析，给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.) Platform: |
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Author:#@ |
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