基于加权平方误差损失函数的鲁棒TOA源定位算法  

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

作　　者：弓艳荣[1] 刘鹏 GONG Yanrong;LIU Peng(Inner Mongolia Electronic Information Vocational Technical College,Hohhot 010070,China)

机构地区：[1]内蒙古电子信息职业技术学院,呼和浩特010070

出　　处：《弹箭与制导学报》2021年第5期32-36,共5页Journal of Projectiles,Rockets,Missiles and Guidance

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。In order to solve the problem of source location in line-of-sight/non-line-of-sight mixed environment,weighted squared error loss function-based robust time-of-arrival source localization(WSE-RS)algorithm is proposed.When the nodes are in the line-of-sight environment,the weighted squared error loss function is constructed by using the sampling mean.If the node is in a line-of-sight/non-line-of-sight 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 Gauss-Newton method is used to solve the problem.Then the location of the source node is obtained.Simulation results show that the proposed WSE-RS algorithm improves the positioning accuracy,but the operation time is higher.

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 

分 类 号：TPT393[自动化与计算机技术]