摘要
无人艇平台的安全航行依靠雷达对海面目标的检测和稳定跟踪,传统的检测后跟踪方法难以处理海杂波环境下形成的虚假航迹,影响雷达对小目标检测的整体性能。基于动态规划的检测前跟踪(TBD)算法原理,提出了一种采用动态规划和Kalman滤波结合的TBD处理方法,仿真结果表明可以有效滤除海杂波虚假航迹,提高对慢速小目标的检测能力。
The safe navigation of unmanned surface vehicle(USV)platform depends on the detection and stable tracking of the radar to sea target.The traditional method of tracking after detection is difficult to deal with the false track formed in the sea clutter environment,which affects the overall performance of radar detecting the small target.Based on the principle of tracking before detection(TBD)algorithm of dynamic programming,this paper presents a TBD processing method which combines dynamic programming and Kalman filtering.The simulation results show that it can effectively filter out the false track of sea clutter and improve the detection ability to slow small target.
作者
张恒
宋佳
林鹏
ZHANG Heng;SONG Jia;LIN Peng(The723 Institute of CSIC,Yangzhou 225101,China)
出处
《舰船电子对抗》
2020年第2期75-78,85,共5页
Shipboard Electronic Countermeasure
关键词
无人艇
海杂波
卡尔曼滤波
检测前跟踪
unmanned surface vehicle
sea clutter
Kalman filtering
tracking before detection
