超分辨率技术和ISAR成像

W. Gabriel
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引用次数: 19

摘要

高分辨率最优估计技术被应用于旋转物体的雷达成像问题,有时被称为ISAR(逆合成阵列雷达)成像。利用两种频谱估计技术,描述了典型的数字距离-多普勒处理操作。通过这种处理获得了高质量的ISAR图像,并给出了基于旋转物体的点目标模型生成的模拟数据的具体示例。第一个例子是所谓的旋转木马24点目标,并利用MLM(最大似然方法)算法处理三维距离-多普勒图像估计。第二个例子是一个旋转臂,沿其定位15个点目标,包括双重态、三重态和四重态星团,需要超分辨率技术在多普勒域进行分辨。结论是,超分辨率技术为传统的DFT(离散傅里叶变换)ISAR图像处理提供了可行的替代方案,并且应该允许从相同的数据样本中获得更高分辨率的图像,或者从更少的数据样本中获得同等质量的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Superresolution techniques and ISAR imaging
High-resolution optimal estimation techniques are applied to the problem of radar imaging of rotating objects, sometimes referred to as ISAR (inverse synthetic array radar) imaging. Typical digital range-Doppler processing operations are described, utilizing two spectral estimation techniques. Quality ISAR images have been obtained from such processing, and particular examples, which are based on simulated data generated from point-target models of rotating objects, are shown. The first example is a so-called merry-go-round of 24 point-targets, and the MLM (maximum-likelihood method) algorithm is utilized to process a 3-D range-Doppler image estimate. The second example is a rotating boom along which are located 15 point-targets including a doublet, a triplet, and a quadruplet cluster that require superresolution techniques to resolve in the Doppler domain. It is concluded that superresolution techniques offer a viable alternative to conventional DFT (discrete Fourier transform) ISAR image processing and should permit either higher resolution images from the same data samples or equal-quality images from significantly fewer data samples.<>
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