ISAR minimum-entropy phase adjustment

Junfeng Wang, D. Kasilingam, Xingzhao Liu, Zhixin Zhou
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引用次数: 18

Abstract

A new technique is developed for phase adjustment in ISAR imaging. The adjustment phase is found by iteratively solving an equation, which is derived by minimizing the entropy of the image. This technique can be used to estimate adjustment phases of any form. Moreover, the optimization method used in this technique is computationally more efficient than trial-and-error methods.
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ISAR最小熵相位调整
提出了一种新的ISAR成像相位调整技术。调整相位是通过迭代求解一个方程来确定的,该方程是通过最小化图像的熵而得到的。这种技术可以用来估计任何形式的调整阶段。此外,该技术中使用的优化方法在计算上比试错法更有效。
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