基于加权平方误差损失函数的鲁棒 TOA 源定位算法

弓艳荣; 刘鹏

doi:10.15892/j.cnki.djzdxb.2021.05.007

弹箭与制导学报 >

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

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

基于加权平方误差损失函数的鲁棒 TOA 源定位算法

弓艳荣 ,
刘鹏

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内蒙古电子信息职业技术学院,呼和浩特 010070

弓艳荣(1982-),女,内蒙古乌兰察布人,讲师,研究方向:计算机科学与技术.

收稿日期: 2020-09-12

网络出版日期: 2025-05-30

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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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摘要

针对视距/非视距混合环境下的源定位问题,提出加权平方误差损失函数的鲁棒定位算法(WSE-RS)。当节点处于视距环境,就利用抽样均值构建加权平方误差损失函数;当节点处于视距/非视距混合环境,就利用抽样中值构建加权平方误差损失函数。建立两个场景下加权平方误差损失函数之和最小化的目标函数,并利用高斯牛顿法求解,进而获取源节点的位置。仿真结果表明,提出的WSE-RS算法提高了定位精度,但算法的运算时间较长。

关键词： 源定位; 视距; 非视距; 最小二乘法; 高斯牛顿法; 加权平方误差

本文引用格式

弓艳荣 , 刘鹏 . 基于加权平方误差损失函数的鲁棒 TOA 源定位算法[J]. 弹箭与制导学报, 2021 , 41(5) : 32 -36 . DOI: 10.15892/j.cnki.djzdxb.2021.05.007

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

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