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LOS/NLOS混合环境下的基于TOA测距的定位算法

  • 刘正波 1 ,
  • 朱亮 2
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  • 1 石家庄邮电职业技术学院智能工程系,石家庄 050000
  • 2 河北大学数学与计算机学院, 河北保定 071002

刘正波(1971—),男,河北石家庄人,讲师,研究方向:领域移动通信。

收稿日期: 2020-04-10

  网络出版日期: 2025-02-25

基金资助

河北省自然科学基金(F2011201146)

保定市科学技术研究与发展指导计划资助

Location Algorithm Based on TOA Ranging in LOS/NLOS Mixed Environment

  • LIU Zhengbo 1 ,
  • ZHU Liang 2
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  • 1 Department of Intelligent Engineering,Shijiazhuang Posts and Telecommunication Technical College,Shijiazhuang 050000,China
  • 2 School of Mathematics and Computer Science,Hebei University,Hebei Baoding 071002,China

Received date: 2020-04-10

  Online published: 2025-02-25

摘要

针对基于到达时间TOA的源定位,利用源的先验位置信息提高现存基于测距定位算法性能。提出先验位置信息的TOA定位算法。将先前获取的源位置的均值和方差作为先验信息,利用这些先验信息,再结合最小均方误差和基于惩罚函数策略估计源节点位置。仿真结果表明,相比于同类的源定位算法,提出的源定位算法有效地提高了定位精度。

本文引用格式

刘正波 , 朱亮 . LOS/NLOS混合环境下的基于TOA测距的定位算法[J]. 弹箭与制导学报, 2021 , 41(2) : 78 -81 . DOI: 10.15892/j.cnki.djzdxb.2021.02.017

Abstract

Range measurements are used to estimate the location parameter for TOA source localization and previous information on the position of the source is employed to improve the existing measurement-based method. Therefore, prior position-based TOA Source localization is proposed in this paper. A priori-based robust TOA localization method is developed using the mean and variance of the previously obtained distribution for the prior source position. The proposed methods use the MMSE and penalty function-based methods. The positioning accuracy of the proposed algorithm is much higher than that of the conventional methods.

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