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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

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.

Cite this article

LIU Zhengbo , ZHU Liang . Location Algorithm Based on TOA Ranging in LOS/NLOS Mixed Environment[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(2) : 78 -81 . DOI: 10.15892/j.cnki.djzdxb.2021.02.017

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