LOS/NLOS混合环境下的基于TOA测距的定位算法  

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

作　　者：刘正波[1] 朱亮[2] LIU Zhengbo;ZHU Liang(Department of Intelligent Engineering,Shijiazhuang Posts and Telecommunication Technical College,Shijiazhuang 050000,China;School of Mathematics and Computer Science,Hebei University,Hebei Baoding 071002,China)

机构地区：[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

出　　处：《弹箭与制导学报》2021年第2期78-81,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：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。

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。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.

关 键 词：源定位 先验位置信息 到达时间 最小均方误差 惩罚函数 

分 类 号：TN911.7[电子电信—通信与信息系统] TPT393[电子电信—信息与通信工程]