路测数据驱动的移动终端定位方法

发布时间：2018-07-20 14:54

【摘要】：针对当前无线定位技术无法适应复杂环境、定位精度较低的问题,提出了一种路测数据驱动的移动终端定位方法.首先,基于基站位置定位、基站信号覆盖范围描绘算法建立基站位置-范围模型库,将移动终端初始参数与模型库匹配得出其初始范围;其次,基于道路特征提取算法建立道路分类数据库,利用无线信号特征匹配算法匹配移动终端所在道路信息;最后,建立经纬度-强度映射模型库,运用终端信号比对算法确定移动终端的精确位置.理论分析和实验结果表明,基站定位精度在2 m内的概率为60%,3 m内的概率为77%,相对数据白化之前分别提高了39%、12%左右,基站信号覆盖范围描绘算法也能较准确地描绘基站信号覆盖范围,二者精度的改善能提高最终定位精度.
[Abstract]:Aiming at the problem that the current wireless positioning technology can not adapt to the complex environment and the positioning accuracy is low, a method of mobile terminal location driven by road data is proposed. Firstly, based on the location of the base station, the base station signal coverage description algorithm is used to establish the base station location-range model base, and the initial parameters of the mobile terminal and the model base are matched to the initial range. Based on the road feature extraction algorithm, the road classification database is established, and the wireless signal feature matching algorithm is used to match the road information of mobile terminal. Finally, the longitude, latitude and intensity mapping model base is established. The terminal signal alignment algorithm is used to determine the exact location of the mobile terminal. The theoretical analysis and experimental results show that the probability of base station positioning accuracy within 2 m is 60 and 3 m, and the probability is 77. Before the relative data whitening, the relative data are increased by about 39% or 12% respectively. The algorithm of base station signal coverage can also accurately describe the base station signal coverage, and the improvement of the accuracy of both can improve the final positioning accuracy.
【作者单位】：杭州电子科技大学机械工程学院;浙江工商大学计算机与信息工程学院;潍坊市公安局;
【分类号】：TN929.5

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