摘要
针对低频段机扫航管雷达目标回波在相邻多脉冲(波位)间以及在相邻多距离单元内的扩展性,导致目标跟踪困难、出现点迹混杂和航迹错乱等问题,提出了一种基于圈间回波二维像滑动相关和模板提取/图像匹配的目标跟踪方法,解决了传统目标跟踪方法虚警率高、航迹混叠和中断问题。通过雷达实测数据的验证,该算法可以有效提升航管雷达对民航机目标检测和跟踪的性能。
In mechanically scanned air traffic management radars, extended target echoes exist between adjacent range cells and pulses(wave phase), which results in plot aliasing and track confusion. In this paper, a target tracking method is proposed by using moving correlation of two-dimensional echo images, template extraction and image matching. This algorithm can solve the drawback of traditional methods, including high false alarm rate, track confusion and interrupt. Finally, the proposed approach is verified to have higher air traffic target detecting and tracking ability by radar real data.
作者
李海岩
史建涛
孙俊
LI Haiyan;SHI Jiantao;SUN Jun(Navy Staff of Southern Theater Command,Zhanjiang 524003,China;Nanjing Research Institute of Electronics Technology,Nanjing 210039,China;Key Laboratory of IntelliSense Technology of CETC,Nanjing 210039,China)
出处
《现代雷达》
CSCD
北大核心
2019年第2期53-55,71,共4页
Modern Radar
关键词
目标跟踪
二维图像
特征判决
图像匹配
target tracking
two-dimensional images
feature decision
image matching
