关于TMA的Taylor级数法的分析  

Analysis of Taylor Series Method for TMA

作　　者：袁富宇[1] 肖碧琴[1] 刘凯[1] 代志恒 YUAN Fu-yu;XIAO Bi-qin;LIU Kai;DAI Zhi-heng(Jiangsu Automation Research Institute, Lianyungang 222061,China)

机构地区：[1]江苏自动化研究所,江苏连云港222061

出　　处：《指挥控制与仿真》2022年第1期38-43,共6页Command Control & Simulation

摘　　要：对Taylor级数法在纯方位TMA(目标运动分析)问题中的发散问题进行了仿真分析。针对原始方法的奇异性,提出了一种大权值改进方法,依据仿真分析结果,给出了迭代初值的选取原则,最后给出了一种“万无一失”的发散补救方案。仿真结果表明,改进后的方法对于常用态势以及优选的初值没有发散情况出现,全部收敛。In this paper,the divergence problem of Taylor series method in target motion analysis is simulated and analyzed.Aiming at the singularity of the original method,an improved weight method is proposed.According to the results of simulation analysis,the selection principle of the iterative initial value is given.Finally,a“no danger of anything going wrong”divergent remedy scheme is given.The simulation results show that the improved method has no divergence for the common situation and the preferred initial value,but all converges,so it can be used in engineering practice“without worry”.

关 键 词：TMA TAYLOR级数法 大权值 优选初值 发散补救 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]