摘要
用WehnerDonaldR .提出的实孔径三维成像技术 ,可以利用实孔径高分辨率雷达获得目标的三维图像。但是该方法的缺陷在于 ,如果雷达的参数一定 ,即距离维分辨固定 ,则在距离上不能分辨的散射点在方位上亦不能分辨。针对这一问题 ,提出通过在距离维采用超分辨技术 ,提高距离维的分辨率解决了以上问题 ;同时使用全局最小二乘法解决了由于采用超分辨方法而带来的振幅估计问题。仿真结果表明 ,新算法可以较好地解决以上问题 ,是可行的。
Reference [1] proposed 3-D imaging of real aperture radar. It provides the ability to get 3-D image of targets using high-resolution radar. But the drawback of this method is that closely placed scatters which can not be separated in range will not be drawn apart in the cross range of direction. In this paper, an algorithm based on super resolution spectra estimation in range dimension is presented in order to solve the problem mentioned above. The problem is solved by raising the range resolution. Total least square algorithm is used to solve the problem of amplitude estimation brought by super spectra estimation methods. Simulation show the method can be used to solve the problems satisfactorily and is applicable.
出处
《系统工程与电子技术》
EI
CSCD
2000年第4期52-54,87,共4页
Systems Engineering and Electronics
基金
国防预研基金资助课题!(7 5 1③ )
关键词
三维成像
雷达
毫米波
Three dimension imaging Signal analysis Least square algorithm MUSIC algorithm