非视距环境下基于RSS-TOA的定位算法

卢志刚; 李有明; 贾向红; 常生明; 王晓丽

doi:10.11959/j.issn.1000-0801.2019146

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非视距环境下基于RSS-TOA的定位算法

研究与开发 | 更新时间：2024-06-05

- 非视距环境下基于RSS-TOA的定位算法
- RSS-TOA based localization algorithm in non-line-of-sight environment
- 电信科学 2019年35卷第9期页码：107-113
- 作者机构：
  
  1. 宁波大学信息科学与工程学院，浙江宁波 315211
  2. 中国联合网络通信有限公司，北京 100033
- 作者简介：
  
  [ "卢志刚（1995- ），男，宁波大学信息科学与工程学院硕士生，主要研究方向为无线传感网络定位。" ]
  [ "李有明（1963- ），男，宁波大学信息科学与工程学院教授、博士生导师，主要研究方向为宽带通信、电力线通信、协作中继、认知无线电等。" ]
  [ "贾向红（1971- ），女，中国联合网络通信有限公司高级工程师，主要研究方向为通信及IT应用。" ]
  [ "常生明（1982- ），男，宁波大学信息科学与工程学院博士生，主要研究方向为无线传感网络定位。" ]
  [ "王晓丽（1975- ），女，宁波大学信息科学与工程学院讲师、博士生，主要研究方向为多载波通信及应用。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61571250);浙江省自然科学基金资助项目;The Natural Science Foundation of Zhejiang Province of China(LY18F010010);宁波市自然科学基金资助项目;The Natural Science Foundation of Ningbo of China(2015A610121)
- DOI：10.11959/j.issn.1000-0801.2019146
  中图分类号： TP393
- 网络出版日期：2019-09，
  
  纸质出版日期：2019-09-20
- 稿件说明：
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卢志刚, 李有明, 贾向红, 等. 非视距环境下基于RSS-TOA的定位算法[J]. 电信科学, 2019,35(9):107-113.

Zhigang LU, ·ouming LI, Xianghong JIA, et al. RSS-TOA based localization algorithm in non-line-of-sight environment[J]. Telecommunications science, 2019, 35(9): 107-113.
卢志刚, 李有明, 贾向红, 等. 非视距环境下基于RSS-TOA的定位算法[J]. 电信科学, 2019,35(9):107-113. DOI： 10.11959/j.issn.1000-0801.2019146.

Zhigang LU, ·ouming LI, Xianghong JIA, et al. RSS-TOA based localization algorithm in non-line-of-sight environment[J]. Telecommunications science, 2019, 35(9): 107-113. DOI： 10.11959/j.issn.1000-0801.2019146.

摘要

在无线传感器网络定位系统中，尤其是在室内定位中，非视距（NLOS）误差的存在使定位性能急剧下降。为克服非视距传播带来的定位误差，提出了一种针对非视距环境下联合接收信号强度（RSS）和到达时间（TOA）的定位算法。该方法首先通过 RSS和 TOA的测量结果建立关于目标位置的非凸优化问题，然后通过二阶锥松弛理论，将原始的非凸优化问题转换为一种凸优化问题，由此能够快速得到原问题的一个次优解。通过计算机模拟仿真验证，新方法的估计精度更高，性能更好。

Abstract

The existence of non-line-of-sight (NLOS) error can degrade the positioning performance in wireless sensor network localization system

especially in indoor localization.To overcome the localization error caused by NLOS propagation

a localization algorithm was proposed based on received signal strength (RSS) and time-of-arrival (TOA).Firstly

a non-convex optimization problem was established based on RSS and TOA.Then

the original non-convex optimization problem was transformed into a convex optimization problem through the second-order cone relaxation technique

therefore a sub-optimal solution to the original problem could be obtained efficiently.Finally

computer simulation results show that the proposed method can provide higher estimation accuracy and better performance.

关键词

Keywords

references

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