计算机科学 ›› 2018, Vol. 45 ›› Issue (10): 115-119.doi: 10.11896/j.issn.1002-137X.2018.10.022

• 网络与通信 • 上一篇    下一篇

一种面向室内定位的基站选择优化方法

陈诗军1, 王慧强2, 王园园1, 胡海婧2   

  1. 中兴通讯股份有限公司无线预研部 广东 深圳518055 1
    哈尔滨工程大学计算机科学与技术学院 哈尔滨150000 2
  • 收稿日期:2017-09-02 出版日期:2018-11-05 发布日期:2018-11-05
  • 作者简介:陈诗军(1972-),男,硕士,高级工程师,主要研究领域为5G通信架构、室内定位、信道仿真等,E-mail:chen.shijun@zte.com.cn;王慧强(1960-),男,博士,教授,博士生导师,CCF高级会员,主要研究领域为网络安全、未来网络、软件可信性、无线定位,E-mail:guleicarter@gmail.com(通信作者);王圆圆(1985-),女,硕士,工程师,主要研究领域为5G通信架构、室内定位;胡海婧(1992-),女,硕士,主要研究领域为室内定位、定位算法,E-mail:huhaijing@hrbeu.edu.cn。
  • 基金资助:
    国家重点研发计划(2016yfb0502001),863计划(2015AA124101-05),深圳市战略新兴产业专项基金(JSGG20150330145709677),国家重大专项(2016ZX03001023-005)资助

Base Station Selection Optimization Method Oriented at Indoor Positioning

CHEN Shi-jun1, WANG Hui-qiang2, WANG Yuan-yuan1, HU Hai-jing2   

  1. Wireless Advanced Research Department,ZTE Corporation,Shenzhen,Guangdong 518055,China 1
    School of Computer Science and Technology,Harbin Engineering University,Harbin 150000,China 2
  • Received:2017-09-02 Online:2018-11-05 Published:2018-11-05

摘要: 基于蜂窝网的室内定位由于与通信网络共用基础设施,因此具有覆盖范围广、无需基础设施再投资等突出优点,已成为电信运营商级室内定位的首选,是5G通信领域的研究热点之一。在蜂窝网室内定位场景中,基站的布局将直接影响接收首径的数量、到达时间TOA(Time of Arrivaling)和测量误差等要素,从而影响定位精度。据此,文中提出一种面向室内定位的基站选择优化方法,以减小由于基站布局引入的误差。首先,引入TOA信息去除TDOA定位的虚定位点;其次,针对不同基站选择方案得到的定位结果,利用二次聚类的思想去除孤立点,并根据聚类结果中样本节点数量最多的类确定定位点的位置。实验结果表明,与其他优化方法相比,所提方法的室内定位平均误差降低了15.49%。

关键词: 二次聚类, 蜂窝网, 基站选择, 室内定位

Abstract: Indoor positioning based on the cellular network has become the preferred carrier-class method.Due to the common infrastructure of the communication network,it has a wide range of coverage and it is without the need for reinvestment of infrastructure,which has become one of hot spots in the field of 5G communication.In the cellular positioning scene of network indoor,the layout of station will directly affect the number of the first acceptance diameter,arriving time TOA (Time of Arrival),measurement error and so on,then it will affect the positioning accuracy.A base station selection optimization algorithm for indoor location was proposed,which reduces the deviation due to the base station layout.Firstly,an indoor three-dimensional positioning model with error suppression is proposed to suppress the inaccuracy of single model localization.TOA information is used to suppress the error caused by the virtual locating point in the TDOA model.Secondly,according to the results of the selection of different base stations,the isolated point are removed by the idea of secondary clustering,position of the positioning point is determined according to the class with the largest number of sample nodes in the clustering result.The experimental results show that the base station selection optimization algorithm reduces the average deviation of indoor positioning by 15.49% compared with other optimization algorithms.

Key words: Base station selection, Cellular network, Indoor positioning, Secondary clustering

中图分类号: 

  • TN929.5
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