计算机应用 ›› 2016, Vol. 36 ›› Issue (12): 3515-3520.DOI: 10.11772/j.issn.1001-9081.2016.12.3515

• 行业与领域应用 • 上一篇    

路测数据驱动的移动终端定位方法

元广杰1, 李小东1, 江照意2, 苑鹏1, 郭志潍3   

  1. 1. 杭州电子科技大学 机械工程学院, 杭州 310018;
    2. 浙江工商大学 计算机与信息工程学院, 杭州 310018;
    3. 潍坊市公安局, 山东 潍坊 261041
  • 收稿日期:2016-06-21 修回日期:2016-09-01 出版日期:2016-12-10 发布日期:2016-12-08
  • 通讯作者: 李小东
  • 作者简介:元广杰(1976-),男,河北邢台人,副教授,博士,主要研究方向:无线定位、路测数据分析;李小东(1989-),男,河北张家口人,硕士研究生,主要研究方向:无线定位、路测数据分析;江照意(1975-),男,浙江温州人,副教授,博士,CCF会员,主要研究方向:数字几何处理、移动图形计算、无线定位;苑鹏(1991-),男,安徽安庆人,硕士研究生,主要研究方向:无线定位、路测数据分析;郭志潍(1981-),男,山东潍坊人,主要研究方向:大数据分析。

Mobile terminal positioning method driven by road test data

YUAN Guangjie1, LI Xiaodong1, JIANG Zhaoyi2, YUAN Peng1, GUO Zhiwei3   

  1. 1. School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China;
    2. School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou Zhejiang 310018, China;
    3. Weifang Public Security Bureau, Weifang Shandong 261041, China
  • Received:2016-06-21 Revised:2016-09-01 Online:2016-12-10 Published:2016-12-08

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。

关键词: 无线定位, 路测, 基站, 位置服务, 接收信号强度指示, 信号覆盖范围

Abstract: The current wireless positioning technology can not adapt to complex environment and has low positioning accuracy. In order to solve the problems, a mobile terminal positioning method driven by road test data was proposed. Firstly, based on the location algorithm of base station and the description algorithm of base station signal coverage, the location-coverage model of base station base was established. By matching the initial parameters of the mobile terminal with the model base, the initial range of the mobile terminal was obtained. Secondly, the road classification database was established based on the extraction algorithm of road feature, and the wireless signal feature matching algorithm was used to match the road information of the mobile terminal. Finally, the model base of longitude-latitude and intensity mapping was established and the precise position of the mobile terminal was determined by using the terminal signal comparison algorithm. The theoretical analysis and experimental results show that the probability of 2 m localization accuracy of the base station reaches 60%, the probability of 3 m reaches 77%, which are improved respectively by about 39% and 12% than those before whitening, and the description algorithm of base station signal coverage can also describe the coverage of base station signal more accurately. The accuracy improvement of the two parts can improve the final positioning accuracy.

Key words: wireless positioning, road test, Base Station (BS), location service, Received Signal Strength Indication (RSSI), coverage of signal

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