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

一种单站纯方位目标跟踪中的线性近似化滤波算法
引用本文:石章松,刘忠,刘健.一种单站纯方位目标跟踪中的线性近似化滤波算法[J].海军工程大学学报,2006,18(2):14-18.
作者姓名:石章松  刘忠  刘健
作者单位:海军工程大学,电子工程学院,湖北,武汉,430033
基金项目:国防“十五”预研资助项目
摘    要:针对EKF算法中存在初始化困难的缺陷,利用近似线性化的方法,构建基于修正极坐标系下的近似线性最小二乘滤波算法ALF;以ALF作为EKF滤波器的初始化算法,实现联合ALF和EKF的两阶段滤波算法,并将它应用在水下单站纯方位目标跟踪中。仿真结果表明,由ALF和EKF组成的两阶段滤波算法具有很好的稳定性,算法精度较高,是一种有效的算法,对潜艇实施隐蔽探测与跟踪具有重要意义.

关 键 词:纯方位目标跟踪  线性化  卡尔曼滤波
文章编号:1009-3486(2006)02-0014-05
修稿时间:2005年10月19

An approximate linear filtering algorithm applied in single platform bearings-only target tracking
SHI Zhang-song,LIU Zhong,LIU Jian.An approximate linear filtering algorithm applied in single platform bearings-only target tracking[J].Journal of Naval University of Engineering,2006,18(2):14-18.
Authors:SHI Zhang-song  LIU Zhong  LIU Jian
Abstract:To overcome the limitation of the initializationof the extended Kalman filters(EKF),the approximatelinear mean least-square filtering based on the modified polar coordination is created by the approximatelinearization method.With the ALF as the initialization of the EKFalgorithm,this paper presents a two-stage filtering scheme combining the ALF and EKF,and then applies it to the underwater single platform bearings-only target tracking.The simulation proves that the two-hjstage filtering algorithm is a stable and high accuratealgorithm,which is important for submarines to detect and tract the underwater target.
Keywords:bearings-only target tracking  linearization  Kalman filtering  
本文献已被 CNKI 万方数据 等数据库收录!
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