BEMD-based two-dimensional SAR autofocus algorithm |
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| Authors: | Yang Li Jing Zhang Chengbin Fu Dalong Wang |
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| Institution: | 1. China Academy of Electronics and Information Technology, Beijing, China;2. Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China |
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| Abstract: | The two-dimensional (2D) autofocus algorithm simultaneously compensates both the residual range migration and propagation-induced phase errors. However, the unsuitable selection of prominent points would reduce the performance of autofocus. Bi-dimensional empirical mode decomposition (BEMD) can decompose a synthetic aperture radar (SAR) image into some different sub-images corresponding to different frequency components. Using proposed 2D autofocus algorithm along with BEMD would help us in selecting the suitable prominent points and give a considerable improvement in the performance of SAR autofocus. In further support of that conclusion, some simulations using real SAR data are demonstrated. |
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| Keywords: | bi-dimensional empirical mode decomposition (BEMD) two-dimensional (2D) autofocus |
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