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- W4312962016 abstract "Inverse synthetic aperture radar (ISAR) imaging needs a long coherent processing interval (CPI) to obtain high cross-range resolution. However, the Doppler frequency is time-varying for a maneuvering target, which will produce blurred ISAR image in a long CPI. In this article, we focus on super-resolution ISAR imaging during an adaptive short CPI by using sequential sparse recovery. To enhance the performance of SSL0, a regularized SSLO (Re-SSLO) and an entropy-based stopping rule are presented. Besides, KT-based MTRC compensation, SVD-based dictionary whitening and rotation correlation-based cross-range scaling are introduced into the processing scheme. The superiority of the proposed method is validated by the experimental results based on simulated data." @default.
- W4312962016 created "2023-01-05" @default.
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- W4312962016 date "2022-07-17" @default.
- W4312962016 modified "2023-09-25" @default.
- W4312962016 title "Super-Resolution ISAR Imaging by Sequential Sparse Recovery" @default.
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- W4312962016 doi "https://doi.org/10.1109/igarss46834.2022.9883499" @default.
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