摘要
提出了一种基于渐近线选择的TDOA定位算法。建立基于双曲线渐近线的定位模型,并对双曲线渐近线的斜率表达式进行一阶泰勒级数展开,通过数学方法证明双曲线的离心率会对定位精度产生重要影响。在此基础上,引入弹性函数设置阈值,选择合适的渐近线进行定位估计,减小了离心率接近于1的渐近线对定位结果的不良影响。仿真结果表明,和同类型算法相比,该算法能够获得更好的定位精度。
This paper proposed a TDOA localization algorithm based on asymptote selection.The localization model based on hyperbolic asymptote was established,and the first-order Taylor series expansion was performed on the slope expression of the hyperbolic asymptote,and the mathematical method was used to prove that the hyperbolic eccentricity has an important influence on the localization accuracy.On the basis,the elastic function was introduced to set the threshold,and the appropriate asymptote was selected for localization estimation,which reduced the adverse effect of the asymptote with the eccentricity close to 1 on the localization result.Simulation results show that compared with the same type of algorithms,the algorithm can obtain better location accuracy.
作者
胡荣
李琴
HU Rong;LI Qin(Department of City Construction,WenHua College,Wuhan 430074,China;Liaoning Provincial College of Communications,Shenyang 110122,China)
出处
《兵器装备工程学报》
CAS
北大核心
2019年第11期222-226,共5页
Journal of Ordnance Equipment Engineering
关键词
到达时间差
定位
双曲线
渐近线
泰勒级数
time difference of arrival
localization
hyperbolic
asymptotic
Taylor series
