Application of cellular network wireless localization technology in railway scenario

WEN Si-yang; LI Guo-ning; LING Xiao-ning

doi:10.13873/J.1000-9787(2015)05-0157-04

Chinese

您当前的位置：

首页 >

文章列表页 >

Application of cellular network wireless localization technology in railway scenario

更新时间：2025-09-11

- Application of cellular network wireless localization technology in railway scenario
- Vol. 34, Issue 5, Pages: 157-160(2015)
- 作者机构：
  
  兰州交通大学自动化与电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)05-0157-04
  CLC： TN929.5
- Published：2015
- 稿件说明：
移动端阅览
[1]文思扬,李国宁,令小宁.蜂窝网无线定位技术在铁路场景下的应用[J].传感器与微系统,2015,34(05):157-160.

WEN Si-yang, LI Guo-ning, LING Xiao-ning. Application of cellular network wireless localization technology in railway scenario[J]. 2015, 34(5): 157-160.
[1]文思扬,李国宁,令小宁.蜂窝网无线定位技术在铁路场景下的应用[J].传感器与微系统,2015,34(05):157-160. DOI： 10.13873/J.1000-9787(2015)05-0157-04.

WEN Si-yang, LI Guo-ning, LING Xiao-ning. Application of cellular network wireless localization technology in railway scenario[J]. 2015, 34(5): 157-160. DOI： 10.13873/J.1000-9787(2015)05-0157-04.

摘要

针对蜂窝网络定位技术定位精度不高和在铁路实际中难以应用的缺点

提出一种新的列车定位方法。方法的核心是将速度传感器和蜂窝网的定位参数处理为若干列车可能的位置区域

并计算区域中列车位置出现的概率

以所有位置中出现概率最大为优化目标

建立列车定位的误差优化模型。在此基础上进一步引入遗传粒子群优化算法对模型进行求解

并用Matlab仿真。仿真结果表明:在复杂的铁路环境中

该定位方法对不同来源的误差有很好的吸收作用

是一种有效的定位方法。

Abstract

Aiming at shortcomings of low positioning precision and difficulty of railway practical application

in railway scenario of existing cellular network localization technology

propose a new method of train positioning. The core of method is to process positioning parameters of speed sensor and cellular network

as possible position area of several trains and calculate probability of position of train in area

then use the maximum probability in all the positions as optimization objective

error optimization model is established for train positioning. The genetic particle swarm optimization（ PSO） algorithm is introduced to solve the model and simulate by software Matlab. The simulation results show that in complex environment of railway

the localization method has good absorbing effect on errors of different sources and it is an effective positioning method.

关键词

Keywords

references

基于改进遗传算法的开放式鲁棒融合定位方法 [J]. 刘军搏,王建辉,王大鸣,崔维嘉. 计算机应用研究 . 2012(11)

基于粒子群-遗传的混合优化算法 [J]. 於世为,魏一鸣,诸克军. 系统工程与电子技术 . 2011(07)

TOA模式下TLS辅助泰勒级数展开的蜂窝定位新算法 [J]. 徐波,陈建云,钟小鹏. 系统工程与电子技术 . 2011(06)

一种基于TOA定位的CHAN改进算法 [J]. 杨天池,金梁,程娟. 电子学报 . 2009(04)

自适应变异的粒子群优化算法 [J]. 阳春华,谷丽姗,桂卫华. 计算机工程 . 2008(16)

铁路交通中基于通信的无线定位问题分析 [J]. 熊磊,朱刚,谈振辉. 铁道学报 . 2004(01)

基于信息融合的蜂窝网定位技术研究 [D]. 王建辉. 解放军信息工程大学 2011

基于多传感器信息融合的列车定位方法研究 [D]. 周达天. 北京交通大学 2007

基于GNSS/ODO的列车定位方法研究 [D]. 张辉. 北京交通大学 2008

蜂窝网无线定位[M]. 电子工业出版社 , 范平志等著, 2002

Views

134

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on optimal dispatching algorithm of power routers in farming and pastoral areas based on SSA

PSO localization algorithm based on node density weighting and distance correction

Localization algorithm using NLOS TDOA based on convex optimization

Computation offloading strategy based on PD-BPSO algorithm

Improved 3D localization model based on least square method in NLOS environment

Related Author

SUN Yujie

MENG Keqilao

ZHANG Zhanqiang

Lü Xiaoyuan

HU Zhongdong

WU Weiwei

WANG Zhou

FANG Wangsheng

Related Institution

College of Energy and Power Engineering, Inner Mongolia University of Technology

College of Information Engineering, Inner Mongolia University of Technology

Faculty of Information Engineering,Jiangxi University of Science and Technology

School of Internet of Things Engineering,Jiangnan University

National Mobile Communications Research Laboratory,Southeast University

⁰