A super-resolution algorithm for synthetic aperture radar based on modified spatially variant apodization |
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| Authors: | NI Chong WANG YanFei XU XiangHui ZHOU ChangYi & CUI PengFei |
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| Affiliation: | NI Chong1,2,WANG YanFei1,XU XiangHui1,ZHOU ChangYi1 & CUI PengFei1,2 1 Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China,2 Graduate University of the Chinese Academy of Sciences,Beijing 100049 |
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| Abstract: | The existing spatially variant apodizations(SVAs) either cannot depress the sidelobes effectively or reduce the energy of the mainlobe.To improve this,a modified SVA(MSVA) is put forward in this paper,which expands the traditional filter from 3-taps to 5-taps and sets relevant parameters according to different sampling rates to get the excellent result that satisfies constrained optimization theory.A modified super-SVA is also presented,which compares the result after the iteration with the original signal ... |
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| Keywords: | synthetic aperture radar sidelobe suppression super-resolution SVA |
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