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

基于目标运动轨迹提取的矢量脱靶量测量方法
引用本文:王菊,吴嗣亮.基于目标运动轨迹提取的矢量脱靶量测量方法[J].北京理工大学学报,2005,25(2):164-168.
作者姓名:王菊  吴嗣亮
作者单位:北京理工大学信息科学技术学院电子工程系,北京,100081;北京理工大学信息科学技术学院电子工程系,北京,100081
摘    要:提出一种基于目标空间运动轨迹提取的矢量脱靶量参数估计新方法.该方法利用不同接收天线接收的目标回波信号之间的相位差得到距离差,并基于距离差定位方法获得目标运动轨迹的空间定位点序列.通过建立目标运动模型,采用固定区间Kalman平滑滤波的方法获得目标运动的较精确轨迹.利用平滑滤波后的空间位置点,通过对一组线性方程求解得到矢量脱靶量参数的估计.仿真结果表明该方法可有效地估计出矢量脱靶量参数.

关 键 词:脱靶量  定位算法  Kalman平滑滤波
文章编号:1001-0645(2005)02-0164-05
收稿时间:2004/2/23 0:00:00
修稿时间:2004年2月23日

Measurement Method of Vector Miss Distance Based on the Extraction of Target Trajectory
WANG Ju and WU Si-liang.Measurement Method of Vector Miss Distance Based on the Extraction of Target Trajectory[J].Journal of Beijing Institute of Technology(Natural Science Edition),2005,25(2):164-168.
Authors:WANG Ju and WU Si-liang
Institution:Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China
Abstract:A new approach for estimating the vector miss distance parameters of the target is presented, which based on the extraction of the target motion trajectory in space. In this method, the distance differences, which are got from the phase differences of echo signals between the different receiving antennas, and the localization method based on distance differences is utilized to get the spatial localization point sequences of the target. Further the fixed-interval Kalman smoothing filter is adopted to obtain a more accurate target motion trajectory by constructing the motion model of the target. Then by utilizing the total smoothed localization point, a set of linear equations is formed and the vector miss distance parameters are estimated. Simulation results prove that the proposed method is effective in the vector miss distance parameter estimation.
Keywords:miss distance  location algorithm  Kalman smoothing filter
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《北京理工大学学报》浏览原始摘要信息
点击此处可从《北京理工大学学报》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