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Data-driven motion compensation techniques for noncooperative ISAR imaging

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Original languageEnglish
JournalIEEE Transactions on Aerospace and Electronic Systems
Early online date26 Sep 2017
Publication statusPublished - Feb 2018
Publication typeA1 Journal article-refereed


We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction and crossrange scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50 percent at best and 28 percent on average in several test cases including changing translational and rotational motion.

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