首页 | 本学科首页   官方微博 | 高级检索  
     

在混合坐标系下的机动目标跟踪滤波器
引用本文:戴娅平,杨位钦. 在混合坐标系下的机动目标跟踪滤波器[J]. 北京理工大学学报(英文版), 1995, 4(1): 22-28
作者姓名:戴娅平  杨位钦
作者单位:北京理工大学自动控制系
摘    要:本文介绍了在球面-直角坐标系下跟踪机动目标的卡尔曼滤波算法.为克服观测噪声非白,本文引入了扩充向量,并应用旋转增益算法,对卡尔曼滤波的协方差阵及增益阵实现了解耦.通过仿真计算,对本文提出的算法与国外两种类似的算法在相同的机动和量测噪声特性情况下进行了比较,其结果显示了本算法的优越性.

关 键 词:卡尔曼滤波;跟踪/机动目标

A Maneuvering Target Tracking Filter in Mixed Coordinate System
Dai Yaping and Yang Weiqin. A Maneuvering Target Tracking Filter in Mixed Coordinate System[J]. Journal of Beijing Institute of Technology, 1995, 4(1): 22-28
Authors:Dai Yaping and Yang Weiqin
Affiliation:Department of Automatic Control, Beijing Institute of Technology, Beijing 100081;Department of Automatic Control, Beijing Institute of Technology, Beijing 100081
Abstract:A kalman filter in the spherical-rectangular coordinate system to track a maneuvering target is introduced. A dynamic model with extended state vector is proposed in this paper to improve the state estimation (i.e. position, velocity and acceleration) even the sensor data(i.e. range, azimuth angle and elevation angle ) is color contaminated. The Kalman filter equations are decoupled by proper coordinate transformation and using filter gain rotation algorithm. Monto Carlo simulation is performed for different kinds of target trajectories(with the same measurement noise) and the root mean square values of estimation errors are computed. Results show that there is significant improvement in tracking capability over the methods discussed by other researchers.
Keywords:Kalman filter  tracking/maneuvering target  
本文献已被 CNKI 等数据库收录!
点击此处可从《北京理工大学学报(英文版)》浏览原始摘要信息
点击此处可从《北京理工大学学报(英文版)》下载全文
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