Radar imaging based on iterative algorithms

Qiangfu Zhao, Zhong Wang, Youan Ke
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Abstract

A discrete model for radar imaging is developed, and, based on this model, the maximum entropy algorithm is adapted to radar imaging. Although such iterative algorithms are usually time-consuming, it is shown that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.<>
基于迭代算法的雷达成像
建立了雷达成像的离散模型,并在此模型的基础上,将最大熵算法应用于雷达成像。虽然这种迭代算法通常是耗时的,但研究表明,如果对算法进行适当的简化,甚至可以实时实现。通过计算机仿真验证了迭代算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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