EMD和小波变换在低可探测目标检测中的应用

针对雷达、红外等常规目标探测手段难以获取低可探测目标的现状,提出了一种利用EMD和小波变换相结合分析激光雷达探测的风场扰动数据从而获取目标的探测方法。基于接收大气反射的激光回波信号,通过风速反演算法获得扫描区域内的风场分布,基于EMD和小波变换获取目标可能存在的位置。实验表明:基于该算法获取目标于径向距离1 250 m,方位角6处的结论与实际情况基本吻合,从而验证了该算法切实可行,对空中低可探测目标的探测发现具有重要的意义。

Application of EMD and wavelet transform in low detectable targets detection

Based on the situation of being difficult to detect low detectable targets with those conventional radar and infrared means, a novel algorithm of acquiring targets based on Empirical Mode Decomposition(EMD)and wavelet transform was proposed to tackle wind field disturbance detected by lidar. Through receiving the lidar echo signal reflected by atmosphere and the retrieval algorithm of wind speed, the wind field distribution in scanning area was acquired. The location of target was obtained based on EMD and wavelet transform. The experimental result shows that the target location is the radial distance of 1 250 m and the azimuth angle of 6 drawn by this algorithm is the same as the practical situation. Consequently, this novel means is practicable, which has an important significance in the detection of air low detectable target.