基于Shi-Tomasi角点检测算法的弹道目标平动补偿

弹道目标在中段飞行的过程中，存在平动和微动两种运动方式。由于平动会破坏微多普勒结构，为了获得目标的相关参数以便对目标进行识别，需要对平动分量进行补偿。针对该问题，本文提出了一种基于Shi-Tomasi角点检测算法的弹道中段目标平动补偿方法。该算法从图像处理的角度出发，可以有效的提取出图像中的角点信息。之后，根据得到的角点信息进行回归分析，从而实现平动参数的估计。根据仿真实验结果，该算法可以实现平动分量的补偿并具有较好的鲁棒性。 

Ballistic target translation compensation based on Shi-Tomasi corner detection algorithm

During the mid-flight of the ballistic target, there are two movement modes: translational and micro-movement. Since translation will destroy the micro-Doppler structure, in order to obtain the relevant parameters of the target in order to identify the target, the translation component needs to be compensated. Aiming at this problem, this paper proposes a method of compensation for the mid-trajectory target translation based on the Shi-Tomasi corner detection algorithm. From the perspective of image processing, this algorithm can effectively extract the corner information in the image. Afterwards, regression analysis is performed according to the obtained corner point information to realize the estimation of translational parameters. According to the results of simulation experiments, the algorithm can realize the compensation of translational component and has better robustness.