基于GSM频谱的城市车辆相互定位

发布时间：2018-03-26 10:41

本文选题：GSM能量谱　切入点：相对距离　出处：《上海交通大学》2015年硕士论文

【摘要】：及时准确地获取前后车辆之间的位置关系对于驾驶员来说非常重要,这可以用来提高行驶安全。但是由于城市环境高度动态变化,在城市环境中获取这样的信息变得十分困难。本文提出了一种新的称为RUPS的定位方案来解决车辆之间的相互定位问题。文章首先调查研究了GSM能量谱,并发现了其具有非常理想的时空特性,能够用来作为指纹信息。基于这项观察,RUPS采集车辆行驶路程中的地理轨迹与GSM的能量谱信息。通过交换比较这些信息,车辆可以寻找不同车辆之间行驶过程中所经过的共同点。其次,基于这些共同点,车辆就可以通过比较对应车辆的轨迹信息来最终确定其相互之间的位置关系。RUPS是一个轻量级的设计,其仅仅需要一些非常简单的硬件基础设施,并且不需要在车辆之间进行同步,也不需要事先建好的电子地图信息。本文设计了一个原型系统来验证RUPS的正确性与可行性。与此同时,我们进行来大规模的基于真实数据的模拟实验。实验结果表面RUPS可以在各种复杂的城市环境下稳定工作,比之于GPS,其性能有平均2.7倍的提升。
[Abstract]:It is very important for the driver to obtain the position relationship between the vehicles in time and accurately, which can be used to improve the driving safety. However, because of the dynamic change of the urban environment height, It is very difficult to obtain such information in urban environment. In this paper, a new location scheme called RUPS is proposed to solve the problem of mutual positioning between vehicles. Firstly, the energy spectrum of GSM is investigated. And it is found that it has very ideal space-time characteristics, which can be used as fingerprint information. Based on this observation, Rup collects the information of the geographic trace and the energy spectrum of GSM. Vehicles can look for common ground between different vehicles as they travel. Secondly, based on these commonalities, The vehicle can finally determine its position relationship by comparing the track information of the corresponding vehicle. Rup is a lightweight design that requires only some very simple hardware infrastructure. And there is no need to synchronize between vehicles, and there is no need for pre-built electronic map information. In this paper, a prototype system is designed to verify the correctness and feasibility of RUPS. At the same time, We have carried out large-scale simulation experiments based on real data. The experimental results show that the surface RUPS can work stably in various complex urban environments, and its performance is improved by an average of 2.7 times as compared with GPS.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495

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