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Research on the 3D imaging algorithm of spin target based on the Hough transform

机译:基于霍夫变换的自旋目标3D成像算法研究

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As one of the most typical characteristics in space target motion, spin phenomenon has good 3D imaging application potential. Conventional target imaging algorithm fails to make full use of the rotating features of the target to obtain the characteristics of target space, and the speedy spin of targets will cause the dramatic changes in the positions of scattering center within short observation session, which may lead to the failure of imaging algorithm. Aiming at such a special phenomenon of the space target, the time frequency distribution curve of echoes in each scattering center could be mapped onto the parameter space to obtain the position of each scattering center by taking advantage of Hough transformation, thus the 3D features of spin target could be obtained. In this article, the 3D imaging algorithm was studied on the basis of Hough transformation, and its effectiveness was tested with simulation. Meanwhile, the translational motion and shielding effect of space target were discussed, and favorable imaging results were achieved.
机译:作为空间目标运动的最典型特征之一,自旋现象具有良好的3D成像应用潜力。传统的目标成像算法无法充分利用目标的旋转特征来获得目标空间的特征,目标的快速自旋会在较短的观察时间内引起散射中心位置的剧烈变化,可能导致成像算法的失败。针对这种空间目标的特殊现象,可以利用霍夫变换将每个散射中心回波的时频分布曲线映射到参数空间上,以获得每个散射中心的位置,从而获得自旋的3D特征。可以获得目标。本文在Hough变换的基础上研究了3D成像算法,并通过仿真测试了其有效性。同时讨论了空间目标的平移运动和屏蔽效果,取得了良好的成像效果。

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