二维地对空单站无源定位滤波算法研究  

A filtering algorithm for 2D ground-to-air single station passive location

作　　者：张岭旭[1] 马宝宏[1] 陈卓[1] 陆伯祥[1] 

机构地区：[1]中国航天科工集团8511研究所,江苏南京210007

出　　处：《航天电子对抗》2009年第5期42-46,共5页Aerospace Electronic Warfare

摘　　要：在空对地和地对空两种单站无源定位系统中,地对空单站无源定位难度比较大,因为地对空单站无源定位不仅要进行目标位置估计还要进行目标速度估计。在MATALB仿真平台上建立了地对空定位模型,并进行了EKF、MGEKF和UKF三种滤波算法100次Monte-Carlo仿真,提出了对Monte-Carlo仿真结果的若干处理方法,在此基础上对三种滤波算法进行比较,得出三种滤波算法各自的优缺点。Of air-to-ground and ground-to-air single station passive location systems, it is more difficult for ground-to-air single station passive location,which is because that not only object position estimate but also object speed estimate should be made. A ground-to-air location model built on MATLAB simulation platform is proposed. Monte-Carlo simulations are done 100 times with three filtering algorithms of EKF, MGEKF and UKF. Several processing methods for Monte-Carlo simulation result are put forward. Based on this,advantages and disadvantages of three filtering are obtained by comparison.

关 键 词：单站无源定位 滤波算法 EKF MGEKF UKF 

分 类 号：TN953[电子电信—信号与信息处理]