Weighted Squared Error Loss Function-based Robust Time-of-arrival Source Localization

GONG  Yanrong; LIU  Peng

doi:10.15892/j.cnki.djzdxb.2021.05.007

Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 5: 32 - 36

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.05.007

Weighted Squared Error Loss Function-based Robust Time-of-arrival Source Localization

GONG Yanrong ,
LIU Peng

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Inner Mongolia Electronic Information Vocational Technical College,Hohhot 010070,China

Received date: 2020-09-12

Online published: 2025-05-30

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Abstract

In order to solve the problem of source location in lineofsight/nonlineofsight mixed environment, weighted squared error loss functionbased robust timeofarrival source localization (WSERS) algorithm is proposed. When the nodes are in the lineofsight environment, the weighted squared error loss function is constructed by using the sampling mean. If the node is in a lineofsight/nonlineofsight mixed environment, the weighted squared error loss function is constructed using the median value of the sample. The objective function of minimizing the sum of the weighted squared error loss function in the two scenarios is established, and the GaussNewton method is used to solve the problem. Then the location of the source node is obtained. Simulation results show that the proposed WSERS algorithm improves the positioning accuracy, but the operation time is higher.

Key words： source localization; line-of-sight; non-line-of-sight; least square; Gauss-Newton method; weighted squared error

Cite this article

GONG Yanrong , LIU Peng . Weighted Squared Error Loss Function-based Robust Time-of-arrival Source Localization[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(5) : 32 -36 . DOI: 10.15892/j.cnki.djzdxb.2021.05.007

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