ISAR Imaging Phase Correction Algorithm Based on Entropy Minimization

A. Lazarov, C. Kabakchiev, I. Garvanov
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Abstract

In the present work, an Inverse Synthetic Aperture (ISAR) imaging technique with a phase correction is discussed. Based on discrete geometry of the observed object and linear frequency modulation (LFM) emitted waveform, an ISAR signal model is constructed. An iterative Range-Doppler image reconstruction algorithm with a phase correction of higher order is developed. It includes: signal demodulation and radial motion compensation of object's mass center; 2-D inverse Fourier transformations for image extraction, removing ISAR signal's phases of higher order on azimuth and range directions by multiplication with an exponential term with argument - a polynomial of a second order, and using entropy as an image cost function. The geometry, signal model and image reconstruction algorithm with a higher order signal's phase compensation are illustrated by numerical simulation experiments.
基于熵最小化的ISAR成像相位校正算法
本文讨论了一种相位校正的逆合成孔径(ISAR)成像技术。基于被观测对象的离散几何特性和线性调频(LFM)发射波形,建立了ISAR信号模型。提出了一种具有高阶相位校正的迭代距离-多普勒图像重建算法。它包括:信号解调和物体质心径向运动补偿;用于图像提取的二维傅里叶反变换,通过与带参数的指数项(二阶多项式)相乘,并使用熵作为图像成本函数,去除ISAR信号在方位角和距离方向上的高阶相位。通过数值模拟实验说明了高阶信号相位补偿的几何结构、信号模型和图像重建算法。
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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