现代雷达2025，Vol.47Issue(1)：26-30,5.DOI:10.16592/j.cnki.1004-7859.2025.01.005
无需辅助变量约束总体最小二乘时差定位算法
Constrained Total Least Squares Algorithm for TDOA Localization without the Auxiliary Variable
摘要
Abstract
The existing time difference of arrival(TDOA)localization algorithms usually need to add the distance as an auxiliary variable to get the linear localization equation,which causes a two-step target state calculation and the unavailability for continuous localization when the auxiliary variable varies.Therefore,a linear localization equation is deduced relating only to the target state.Based on it,a constrained total least squares(CTLS)algorithm suitable for the continuous localization is proposed without dealing any auxiliary variable.expresses Each column of the measurement matrix and vector is expressed as the product of a matrix and the TDOA measurement error vector by the proposed algorithm.Then,the TDOA localization problem is transformed into a CTLS prob-lem,which can be solved by the Newton method.Simulation results show that the proposed algorithm can achieve the Cramer-Rao lower bound and has better performance than existing typical continuous localization algorithms.关键词
定位/时差/辅助变量/约束总体最小二乘Key words
localization/time difference of arrival/auxiliary variable/constrained total least squares分类
信息技术与安全科学引用本文复制引用
骆卉子..无需辅助变量约束总体最小二乘时差定位算法[J].现代雷达,2025,47(1):26-30,5.基金项目
国家自然科学基金资助项目(61471383) （61471383）
