Radar Imaging with Sparse Constraint: Principle and Initial Experiment
Conference: EUSAR 2014 - 10th European Conference on Synthetic Aperture Radar
06/03/2014 - 06/05/2014 at Berlin, Germany
Proceedings: EUSAR 2014
Pages: 4Language: englishTyp: PDF
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Authors:
Hong, Wen; Zhang, Bingchen; Zhao, Yao; Wu, Yirong (Science and Technology on Microwave Imaging Laboratory, Beijing, China; Institute of Electronics, Chinese Academy of Sciences, Beijing, China)
Zhang, Zhe; Jiang, Chenglong (Science and Technology on Microwave Imaging Laboratory, Beijing, China; Institute of Electronics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China)
Abstract:
In this paper, we introduce a radar imaging framework with sparse constraints naming sparse microwave imaging. It is mainly the combination of traditional radar imaging technology and sparse signal processing, achieving benefits in both improving the imaging quality of current systems and designing optimized sparse microwave imaging systems. We proceed several experiments to verify our methodology, including the processing of current SAR raw data with sparse reconstructions algorithm and an airborne experiment with specially designed sparse microwave imaging system. Though there still exist several challenges, experiment results show that for both non-sparse and sparse scenes, our framework works well.