ISAR三维运动检测技术

3-D Motion Detection Technique of ISAR

介绍了一种从逆合成孔径雷达(ISAR)信号中检测目标三维运动度的算法。首先基于三维散射点模型讨论了目标三维运动对ISAR成像的影响,得出现有的运动补偿算法不能有效地对三维运动目标成像。随后介绍了一种从ISAR信号中测量和比较不同时间段目标三维运动的算法,从而判断哪些成像间隔适于用基于二维运动模型的运动补偿和成像方法进行成像。该算法基于测量目标上两个或更多散射点相位之间的线性相关性,其中的相位估计使用了自适应联合时间-频率分析方法。仿真的舰船数据表明了该算法的有效性。

This paper introduces an algorithm to detect the 3-D motion degree of target from inverse synthetic aperture radar（ISAR） signals. Based on the 3-D scattering point model,this paper firstly discusses the influence of 3-D motion target on ISAR imaging,which shows the motion compensation algorithm at present can＇t image effectively for 3-D motion target,then introduces an algorithm to measure and compare the 3-D motion algorithm of the target in ISAR signals during different time sect,thereby judges which imaging intervals are suitable to image by means of the motion compensation and imaging method based on 2-D motion model. The algorithm is based on measuring the linear relativity between two targets or among more targets,in which the phase estimation uses the self-adaptive joint time-frequency analysis method. The simulative data for the ship shows that the algorithm are effective.