Inverse synthetic aperture radar imaging based on sparse signal processing |
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| Authors: | Fei Zou Xiang Li and Roberto Togneri |
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| Affiliation: | ZOU Fei1,LI Xiang1,Roberto Togneri2 1.Institute of Space Electronic Technology,National University of Defense Technology,Changsha 410073,China,2.School of Electrical,Electronic and Computer Engineering,The University of Western Australia,Terth,Australia |
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| Abstract: | Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector, an imaging method
was presented with the application of sparse signal processing. This method can form higher resolution inverse synthetic aperture
radar images from compensating incomplete measured data, and improves the clarity of the images and makes the feature structure
much more clear, which is helpful for target recognition. The simulation results indicate that this method can provide clear
ISAR images with high contrast under complex motion case. |
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| Keywords: | ISAR imaging sparse component analysis target recognition high resolution target image |
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