基于TDOAs与GROAs信息的多信号源约束总体最小二乘定位算法  

Constrained-Total-Least-Squares Algorithm for Multiple Disjoint Sources Localization Using TDOAs and GROAs

作　　者：张丹[1] 李继中 张晋宏 ZHANG Dan;LI Jizhong;ZHANG Jinhong(Unit 92076,Beijing 102202,China;Zhengzhou Base, Zhengzhou 450000,China)

机构地区：[1]92076部队 [2]郑州基地

出　　处：《信息工程大学学报》2018年第4期468-474,共7页Journal of Information Engineering University

摘　　要：基于辐射源信号的到达时间差(TDOA)和到达增益比(GROA)信息,提出一种协同多信号源进行联合定位的约束总体最小二乘定位算法。首先推导出协同多信号源TDOAs和GROAs信息的伪线性观测模型,并在TDOAs/GROAs测量误差和观测站位置扰动误差同时存在下建立约束总体最小二乘定位优化模型,设计出相应的数值优化算法。仿真实验表明,在观测站位置存在扰动误差下,协同多目标进行联合定位比单个目标分离定位具有更高性能增益,并且约束总体最小二乘定位算法比已有文献中两步加权最小二乘闭式解具有更高的噪声门限。Based on the time difference of arrival (TDOA) and gain ratio of arrival (GROA) measurements, the constrained-total-least-squares (CTLS) algorithm for multiple disjoint sources localization is proposed. First, the pseudo-linear localization models for TDOAs/GROAs measurements of multiple disjoint sources are derived. Then, the CTLS optimization model is established for locating multiple targets in the presence of TDOAs/GROAs measurement errors and position errors of observers, and the Newton iteration algorithm to solve the optimization problem is given. Numerical experiments demsnstrate that joint localization for multiple sources can obtain higher localization accuracy than single-source localization. Moreover, the CTLS location algorithm has higher noise thresholding than the two-step weighted least squares location solution.

关 键 词：无源定位 到达时间差 到达增益比 多信号源 约束总体最小二乘 理论性能分析 

分 类 号：TN911.23[电子电信—通信与信息系统]