Radar Imaging with Sparse Constraint: Principle and Initial Experiment

Inhalt:
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.