ISAR autofocusing image reconstruction of sea target

A. Lazarov, T. Kostadinov
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引用次数: 2

Abstract

This work deals with the implementation of ISAR method to extract an image of a sea target with high resolution. Three dimensional ISAR scenario, including radar and a target of interest, is depicted in one and the same 3-D Cartesian coordinate system and duly considered. The sea target is presented as an assembly of discrete point scatteres which intensities are interpreted as an image function of the object observed. Analytical geometrical expressions to define a range distance from the radar to each point scatterer from the object space are derived. In order to realize high range resolution on the line of sight an informative linear frequency modulated waveform is applied. An ISAR signal model as a superposition of signals reflected from target's point scatterers is described and graphicaly illustrated. Image extraction from ISAR signal returns is performed by implementation of Fourier transformation on both range and cross-range coordinates. Image enhancement is accomplished by iterative polynomial focusing procedure and entropy as a cost function. In order to verify the supposed algorithm a numerical experiment is performed.
海面目标ISAR自动调焦图像重建
本文研究了ISAR方法在高分辨率海面目标图像提取中的应用。三维ISAR场景,包括雷达和感兴趣的目标,在一个相同的三维笛卡尔坐标系中描述,并适当考虑。海洋目标被表示为离散点散射的集合,其强度被解释为被观测对象的图像函数。导出了从目标空间定义雷达到每个点散射体的距离的解析几何表达式。为了在瞄准线上实现高距离分辨率,采用了信息线性调频波形。描述了目标点散射体反射信号叠加的ISAR信号模型,并用图形表示。通过对距离坐标和跨距离坐标进行傅里叶变换,对ISAR信号回波进行图像提取。图像增强是通过迭代多项式聚焦过程和熵作为代价函数来实现的。为了验证所提出的算法,进行了数值实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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