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水下纯方位目标运动分析的UKF滤波算法
引用本文:叶灵军,曲毅,刘忠,王自强.水下纯方位目标运动分析的UKF滤波算法[J].火力与指挥控制,2009,34(8).
作者姓名:叶灵军  曲毅  刘忠  王自强
作者单位:1. 海军工程大学电子工程学院,湖北,武汉,430033;南京大学,江苏,南京,210093
2. 海军工程大学电子工程学院,湖北,武汉,430033
3. 南京大学,江苏,南京,210093
摘    要:Unscented卡尔曼滤波(UKF)是一种新的非线性滤波算法,在U变换(unscented transformation)的基础上,获得纯方位条件下的UKF算法.最后,针对水下纯方位目标运动建立系统模型并进行仿真,仿真结果表明,UKF的滤波精度、稳定性和收敛时间都优于EKF,还可避免计算烦琐的Jacobin矩阵或Hessian矩阵,给计算带来了极大的方便.

关 键 词:无迹变换  纯方位跟踪  目标运动分析

Underwater Bearings-Only Target Motion Analysis based on UKF
YE Ling-jun,QU Yi,LIU Zhong,WANG Zi-qiang.Underwater Bearings-Only Target Motion Analysis based on UKF[J].Fire Control & Command Control,2009,34(8).
Authors:YE Ling-jun  QU Yi  LIU Zhong  WANG Zi-qiang
Institution:1.Electronics Engineering College;Naval University of Engineering;Wuhan;430033;China;2.Nanjing University;Nanjing 210093;China
Abstract:The Unscented Kalman Filter(UKF) is a new nonlinear filtering method.In this paper,the bearings-only UKF based on unscented transformation is discussed.In the end,the underwater bearings-only target motion system model is established and simulated.The simulation results show that the precision,stability and convergence of UKF are greatly improved compared with that of EKF,and the UKF has great convenience in computing,because it is avoided to compute the intricate Jacobin or Hessian matrix.
Keywords:unscented transformation  bearings-only tracking  target motion analysis  
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