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运动目标的检测与跟踪在实际中应用广泛。对于低空高速运动目标的检测与跟踪常常面临目标信号微弱和地物干扰严重等问题。基于某型飞机着陆雷达回波图像,提出并采用滑动窗口形态匹配算法对帧差的灰度图像进行目标检测,同时采用二次匹配算法分离出微弱信号目标,去除假目标干扰。之后再结合多帧图像进行航迹关联,去除静止地物等目标干扰,实现运动目标的跟踪。实际测试表明:该处理流程算法简单,处理一帧的时间短,可以检测到极其微弱的目标信号,有效抑制各种干扰,捕捉目标的反应时间短,实现了运动目标的实时检测、准确定位和无丢失跟踪。
Detection and tracking of moving targets are widely used in practice. For low-speed high-speed moving target detection and tracking are often faced with the weak signal and the ground object interference and other serious issues. Based on the echo images of a certain type of aircraft landing radar, a sliding window morphological matching algorithm is proposed and used to detect the framed grayscale images. At the same time, the signal of weak signal is separated by the secondary matching algorithm to remove the false targets. Then combined with multi-frame image trajectory association, removal of static objects and other target interference, to achieve the tracking of moving targets. The actual test shows that the processing flow is simple, the processing time of one frame is short, the extremely weak target signal can be detected, the various interferences are effectively suppressed, the reaction time of capturing the target is short, the real-time detection and accurate positioning of the moving target are realized No missing track.