首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于迭代容积滤波的无源跟踪算法
引用本文:章静,王社阳,魏喜庆.基于迭代容积滤波的无源跟踪算法[J].上海航天,2014,31(3):20-23,55.
作者姓名:章静  王社阳  魏喜庆
作者单位:[1]上海航天技术研究院,上海201109 [2]上海机电工程研究所,上海201109
摘    要:对无源目标跟踪问题进行了研究,给出一种只有角度和距离测量的目标跟踪算法。为提高估计的精度和数值稳定性,采用了容积滤波算法,并用基于龙贝格-马尔塔(LM)算法改进迭代容积滤波算法,以提高估计精度,算法实现了对目标的无源跟踪。仿真结果表明:迭代容积滤波算法的跟踪效果更好。

关 键 词:无源跟踪  非线性滤波  容积滤波  迭代滤波

Passive Tracking Algorithm Based on Iterative Cubature Kalman Filter
ZHANG Jing,WANG She-yang,WEI Xi-qing.Passive Tracking Algorithm Based on Iterative Cubature Kalman Filter[J].Aerospace Shanghai,2014,31(3):20-23,55.
Authors:ZHANG Jing  WANG She-yang  WEI Xi-qing
Institution:1. Shanghai Academy of Spaceflight Technology, Shanghai 201109, China; 2. Shanghai Electronic-Mechanical Engineering Institute, Shanghai 201109, China)
Abstract:The passive tracking algorithm was studied and an estimation algorithm was proposed for target with angle and range measurements in this paper.Cubature Kalman filter was adopted to improve the estimated accuracy and numerical stability.The LM algorithm was used to improve cubature Kalman filter to further improve the estimation accuracy.The passive target tracing was realized by the algorithm.The simulation results proved this new method had achieved better tracking performance.
Keywords:Passive tracking  Nonlinear filter  Cubature Kalman filter  Iterative filter
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《上海航天》浏览原始摘要信息
点击此处可从《上海航天》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号