Chen Shichao, Liu Ming, Lu Fugang, Xing Mengdao
No. 203 Research Institute of China Ordnance Industries, Xi'an 710065, China.
School of Computer Science, Shaanxi Normal University, Xi'an 710119, China.
Sensors (Basel). 2019 Jun 3;19(11):2530. doi: 10.3390/s19112530.
Target identification is a challenging task under land backgrounds for the millimeter wave (MMW) seeker, especially under complex backgrounds. Focusing on the problem, an effective method combining correlation matching and beam pointing is proposed in this paper. In the beginning, seeker scanning for target detection is conducted in two rounds, and target information of the detected targets is stored for correlation matching. Point or body feature judgment is implemented by using high resolution range profile (HRRP). Then, the error distribution zone is constructed with the beam pointing as the origin. In the end, we identify the target by searching the one which lies in the closest error distribution from the beam pointing center. The effectiveness of the proposed method is verified by using mooring test-fly and real flight data.
对于毫米波（MMW）导引头而言，在陆地背景下进行目标识别是一项具有挑战性的任务，尤其是在复杂背景下。针对这一问题，本文提出了一种将相关匹配与波束指向相结合的有效方法。首先，导引头对目标检测进行两轮扫描，并存储检测到的目标的信息用于相关匹配。利用高分辨距离像（HRRP）进行点或体特征判断。然后，以波束指向为原点构建误差分布区域。最后，通过搜索位于离波束指向中心最近误差分布中的目标来识别目标。通过系留试验飞行和实际飞行数据验证了该方法的有效性。
