一种低分辨率雷达多目标分辨新方法

Zhenglin Jiang, Z. Bao
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引用次数: 3

摘要

在有源低分辨率雷达中,纵向分辨率通常在一百米以上,最高可达几百米。由于成组飞行的飞机之间距离较近,普通低分辨率雷达无法在距离和方位角上进行区分。利用ISAR技术对目标的多普勒频差进行分解,得到分辨率较好的交叉图像,可以实现目标的分离,但需要较长的相干处理时间。本文利用图像清晰度规则估计低分辨率雷达一维跨距离图像的运动参数,并对其进行平移运动补偿。由于相干处理时间不能过长,我们采用了超分辨率的方法来提高分辨率。一组目标的实验结果表明了该方法的正确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method of resolving multiple targets of low resolution radar
In active low-resolution radar, longitudinal resolution usually is more than one hundred meters and as high as several hundreds meters. Due to the short distance between planes which fly in a group, ordinary low resolution radar cannot distinguish them in both distance and azimuth. If we use the technology of ISAR to resolve the difference among Doppler frequencies of the targets and obtain a fine resolution cross-cross image, we may separate them, but a long coherent processing time is needed. In this paper, we exploit the graphics sharpness rule to estimate the motion parameter for one dimensional cross-range images of low resolution radar and compensate them for translational motion. Since coherent processing must not be overlong, we adopt the method of super-resolution to improve the resolution. The experimental results of a group target show that the proposed approach is correct and effective.
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