非视距环境下基于二阶锥规划的RSS定位算法

金小萍; 梁俊; 谢少枫

doi:10.11959/j.issn.1000-0801.2021032

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非视距环境下基于二阶锥规划的RSS定位算法

研究与开发 | 更新时间：2024-06-05

- 非视距环境下基于二阶锥规划的RSS定位算法
- RSS localization algorithm based on second-order cone programming in non-line-of-sight environment
- 电信科学 2021年37卷第3期页码：146-153
- 作者机构：
- 作者简介：
  
  [ "金小萍（1978- ），女，中国计量大学信息工程学院副教授、硕士生导师，主要研究方向为 5G 通信、通信检测、无人机通信、物联网通信等。" ]
  [ "梁俊（1995- ），男，中国计量大学信息工程学院硕士生，主要研究方向为无线传感网络定位。" ]
  [ "谢少枫（1977- ），男，中国计量大学现代科技学院讲师，主要研究方向为雷达通信、通信中FPGA硬件的应用。" ]
- 基金信息：
  
  浙江省自然科学基金资助项目;The Natural Science Foundation of Zhejiang Province(LY17F010012);浙江省教育厅研究资助项目;The Research Funding Project of Zhejiang Provincial Department of Education(Y201840047);浙江省电磁波信息技术与计量检测重点实验室开放式项目(2019KF0004)
- DOI：10.11959/j.issn.1000-0801.2021032
  中图分类号： TP393
- 网络出版日期：2021-03，
  
  纸质出版日期：2021-03-20
- 稿件说明：
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金小萍, 梁俊, 谢少枫. 非视距环境下基于二阶锥规划的RSS定位算法[J]. 电信科学, 2021,37(3):146-153.

Xiaoping JIN, Jun LIANG, Shaofeng XIE. RSS localization algorithm based on second-order cone programming in non-line-of-sight environment[J]. Telecommunications science, 2021, 37(3): 146-153.
金小萍, 梁俊, 谢少枫. 非视距环境下基于二阶锥规划的RSS定位算法[J]. 电信科学, 2021,37(3):146-153. DOI： 10.11959/j.issn.1000-0801.2021032.

Xiaoping JIN, Jun LIANG, Shaofeng XIE. RSS localization algorithm based on second-order cone programming in non-line-of-sight environment[J]. Telecommunications science, 2021, 37(3): 146-153. DOI： 10.11959/j.issn.1000-0801.2021032.

摘要

针对无线传感器网络在非视距（NLOS）环境下利用接收信号强度（RSS）定位存在精度不足的问题，提出了一种新的基于二阶锥规划（SOCP）的鲁棒性定位算法。在假定非视距偏差上界的基础上构建了对非视距偏差量具有鲁棒性的定位方程，从而抑制了非视距偏差的干扰；接着利用凸优化技术将鲁棒性的定位问题转化为二阶锥规划问题，达到精确估计的目的，进而提高定位精度；此外，将定位问题推广到未知发射功率的情况，提出了一个迭代 SOCP 的算法。仿真结果表明，所提出的算法有效地解决了非视距定位中存在的问题，且定位精度要优于以往的牛顿迭代法、UT法以及SOCP法。

Abstract

Aiming at the problem that the accuracy of localization using received signal strength (RSS) in wireless sensor network is insufficient in non-line-of-sight (NLOS) environment

a new robust localization algorithm based on second-order cone programming (SOCP) was proposed.Based on the assumption of the upper bound of NLOS biases

a location equation with robustness to NLOS biases was constructed to suppress the interference of NLOS biases

then convex optimization was used to transform the robust localization problem into a second-order cone programming problem with the intention of accurate estimation

thereby improved the localization accuracy.In addition

the localization problem was extended to the case of unknown transmission power

and an iterative SOCP algorithm was proposed.Simulation results show that the proposed algorithm can effectively solve the problems existing in NLOS localization

and the localization accuracy is better than Newton iteration method

UT method and SOCP method.

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Keywords

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