水下纯方位目标运动分析的UKF滤波算法  

Underwater Bearings-Only Target Motion Analysis based on UKF

作　　者：叶灵军[1,2] 曲毅[1] 刘忠[1] 王自强[2] 

机构地区：[1]海军工程大学电子工程学院,湖北武汉430033 [2]南京大学,江苏南京210093

出　　处：《火力与指挥控制》2009年第8期132-134,共3页Fire Control & Command Control

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。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.

关 键 词：无迹变换 纯方位跟踪 目标运动分析 

分 类 号：TN953[电子电信—信号与信息处理]