RSS-TOA based localization algorithm in non-line-of-sight environment

Zhigang LU; ·ouming LI; Xianghong JIA; Shengming CHANG; Xiaoli WANG

doi:10.11959/j.issn.1000-0801.2019146

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RSS-TOA based localization algorithm in non-line-of-sight environment

research and development | 更新时间：2024-06-05

- RSS-TOA based localization algorithm in non-line-of-sight environment
- Telecommunications Science Vol. 35, Issue 9, Pages: 107-113(2019)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019146
  CLC： TP393
- Published Online：2019-09，
  
  Published：20 September 2019
- 稿件说明：
移动端阅览
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：

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.

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references

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RSS localization algorithm based on second-order cone programming in non-line-of-sight environment

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