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空基多平台对空中机动目标的被动跟踪定位算法
引用本文:范小军,刘锋,张军.空基多平台对空中机动目标的被动跟踪定位算法[J].红外与激光工程,2006,35(6):728-731.
作者姓名:范小军  刘锋  张军
作者单位:北京航空航天大学,电子信息工程学院,北京,100083;北京航空航天大学,电子信息工程学院,北京,100083;北京航空航天大学,电子信息工程学院,北京,100083
基金项目:航天支撑技术基金;航空基础科学基金
摘    要:针对空中机动目标的被动定位跟踪问题,提出了一种先用静态估计理论对空中目标进行最小二乘估计,再采用基于“当前”统计模型的自适应滤波算法进行滤波处理的方法,取得了比最小二乘估计与卡尔曼滤波相结合的算法更好的效果。仿真结果表明,在跟踪非机动目标时,该算法和最小二乘估计与卡尔曼滤波结合的办法相当;在跟踪机动目标时,该算法的误差明显小于原算法。

关 键 词:被动跟踪定位  最小二乘估计  "当前"统计模型
文章编号:1007-2276(2006)06-0728-04
收稿时间:2006-01-23
修稿时间:2006-01-232006-02-20

Passive locating and tracking of 3D maneuvering target with multi-airborne platforms
FAN Xiao-jun,LIU Feng,ZHANG Jun.Passive locating and tracking of 3D maneuvering target with multi-airborne platforms[J].Infrared and Laser Engineering,2006,35(6):728-731.
Authors:FAN Xiao-jun  LIU Feng  ZHANG Jun
Affiliation:School of Electronic Information Engineering, Beihang University, Beijing 100083, China
Abstract:Considering the problem of passive locating and tracking of a maneuvering target in the sky,a method is proposed in which the least square estimation of target location is derived based on static estimation theory at first,and then the adaptive Kalman filter based on "current" statistical model is used to improve the location accuracy.Better effect is obtained than the algorithm combining least square estimation and standard Kalman filter.The simulation results show that the method has the same accuracy as the combining algorithm in tracking a non-maneuvering target,while it has fewer errors in tracking a maneuvering target.
Keywords:Passive locating and tracking  Least square estimation  "Current" statistical model
本文献已被 CNKI 维普 万方数据 等数据库收录!
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