Experimental Study on Micro-Doppler Effect and Micro-Motion Characteristics of aerial targets based on holographic staring Radar

In this paper, the motion estimation and compensation of interframe background, the restoration of complete background image, the detection of moving objects and the optimization of detection results of dynamic sequence images are studied. It is innovatively proposed to use the combination of variance, edge information and histogram that characterizes statistical characteristics as the appropriate characteristic to match blocks, and then use the block matching method to realize motion estimation and compensation of background. This algorithm is proved that it can effectively and quickly realize motion estimation and compensation of background between dynamic sequence images by experiments. Then the traditional background subtraction and three-frame difference method can be used to recover the whole background and detect moving target. However, the problem of target cavity and background residues appears in the target detection results. In this paper, the second threshold method of difference results, the background real-time update method and the subarea multi-threshold method are proposed. The experimental results show that the three schemes can effectively solve the problem of target void and background residue in the detection results. And they are also applicable in the situation where the gray level of the target is similar to the background, which can clearly extract the target submerged in the background, and extend the application scope of traditional background subtraction.