针对基于外辐射源的无源雷达系统中,含旋转部件目标的微动中心位置不能够被有效提取这一问题,提出了一种基于逆Randon变换的微动中心提取方法。该方法首先利用子孔径综合成像方法对目标进行成像,然后结合已经获知的目标旋转部件的旋转频率、半径和初始相位信息,沿旋转部件的所有可能的旋转轨迹在子孔径综合成像的结果上进行逆Randon变换,然后通过提取逆Randon变换的峰值位置即可完成对旋转中心的提取。最后,仿真验证了该算法的有效性。
In the passive radar system based on external illuminator, the micro-motion center of the target with rotating parts can't be extracted effectively. To overcome this limitation, a method of the micro-motion center extraction based on the inverse Randon transform is proposed. The target is imaged by the sub-apertures synthesis imaging method, and then in combination with the known information of rotational frequency, radius and initial phase of the target rotating parts, the inverse Randon transform is conducted based on the sub-aperture synthesis imaging result of all the possible rotating track along the rotating parts, and by extracting the peak value of the inverse Randon transform to pick up the rotating center. The effectiveness of the algorithm is proved by the simulation.