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一种新的基于特征值分解的双站无源定位算法
引用本文:郭路,齐润东,郑学合. 一种新的基于特征值分解的双站无源定位算法[J]. 现代防御技术, 2004, 32(1): 56-61
作者姓名:郭路  齐润东  郑学合
作者单位:中国航天科工集团公司,二院二部,北京,100854
摘    要:在自卫式噪声干扰的条件下,地面制导雷达将无法得到目标的斜距信息,无法实现对目标的定位,此时只有采用雷达组网方式,利用2个或多个雷达站的测角信息来对空间目标进行定位。提出一种基于特征值分解的新的定位跟踪算法,该算法具有计算简单、清晰,运算量小的优点,仿真也表明该算法有较好的精度。

关 键 词:双站组网  无源定位  特征值分解  跟踪
文章编号:1009-086X(2004)01-0056-06
修稿时间:2003-03-31

A new algorithm of passive location for two radars networking based on EVD
GUO Lu,QI Run-dong,ZHENG Xue-he. A new algorithm of passive location for two radars networking based on EVD[J]. Modern Defence Technology, 2004, 32(1): 56-61
Authors:GUO Lu  QI Run-dong  ZHENG Xue-he
Abstract:The ground guidance radar will lose slant range in SSJ environment, as a result,it can not locate the target. Two or more radars networking is adopted and the angles measured by the passive radar stations are used for target location.A new simple, clear algorithm with less calculations is presented based on EVD,and the simulation results demonstrate its good precision.
Keywords:Two radar stations networking  Passive location  Eigenvalue decomposition(EVD)  Tracking
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