系统工程与电子技术

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基于图像化多帧积累滤波的慢小目标探测方法

朱源才, 王红, 曲智国   

  1. 空军预警学院陆基预警装备系, 湖北 武汉 430019
  • 出版日期:2017-07-25 发布日期:2010-01-03

Detection method for slow and small target image based on multi-frame accumulation filter

ZHU Yuancai, WANG Hong, QU Zhiguo   

  1. The Land based Early Warning Equipment Department of Air Force Early Warning Academy, Wuhan 430019, China
  • Online:2017-07-25 Published:2010-01-03

摘要:

针对慢小目标在雷达相邻帧间因不能连续检测,造成雷达丢失目标的问题,提出了一种基于图像化多帧积累滤波的慢小目标探测方法。利用帧间差分技术去除固定杂波对慢小目标的干扰,引入了最小外接矩形的长宽比(F3)、占空比(F2)和像素值(F1)3个参量值作为滤波的特征因子,运用图像标记技术提取积累区域上述特征因子,最后通过控制特征因子去除目标中慢动杂波,提高了雷达对慢小目标的探测性能。仿真实验结果验证了该算法的有效性。

Abstract:

Aiming at the problem that slow and small target (SST) could not be detected continuously in the radar adjacent frames, resulting in radar loss of target, a detection method for SST based on image multi-frame accumulation filter is proposed. First, the interferences between the fixed clutter and the SST are removed by using the interframe difference technique. Then, the parameters of the minimum circumscribed rectangle, consisting of F3、 F2 and F1, are introduced as the characteristic factors of the filter, and these parameters are extracted in the accumulation region by the image marking technique. Finally, the slow moving clutter is removed in the target by controlling the characteristic factor, which improves the detection performance of the radar to the SST. Simulation results verify the effectiveness of the proposed algorithm.