ISAR图像中距离变化相位误差的最小熵自动聚焦校正

2020 IEEE International Radar Conference (RADAR) Pub Date : 2020-04-01 DOI:10.1109/RADAR42522.2020.9114769

J. Kantor

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引用次数: 1

摘要

在本文中，我们提出了一种ISAR自动对焦算法，该算法可以补偿距离变化的相位误差，这种相位误差会降低以未知旋转速率形成的ISAR图像。我们的算法是非参数的，能够处理非恒定的旋转速率。该算法基于最小化图像熵来优化图像焦点。

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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Minimum Entropy Autofocus Correction of Range-Varying Phase Errors in ISAR Imagery

In this article, we present an ISAR autofocus algorithm that compensates for range-varying phase errors which can degrade ISAR imagery formed with an unknown rotation rate. Our algorithm is non-parametric and is capable of dealing with a non-constant rotation rate. The algorithm described is based on optimizing image focus by minimizing the image entropy.

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2020 IEEE International Radar Conference (RADAR)

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