雷达成像国际会议PPT.pptx

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Changyu Hu, Ling Wang, Key Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education Nanjing University of Aeronautics and Astronautics, China Otmar Loffeld Center for Sensor Systems, University of Siegen, Germany April 24th, 2018

• Introduction Traditional imaging Compressive sensing based ISAR imaging - - - Motivation • ISAR imaging exploiting dictionary learning - - - Off-line dictionary learning On-line dictionary learning Demonstration • Conclusions

Traditional ISAR imaging Non-cooperative targets

Traditional ISAR imaging Range Doppler Imaging Non-cooperative targets

Traditional ISAR imaging Range Doppler Imaging Non-cooperative targets Plane Ship Simulated satellite

Compressive sensing based ISAR imaging Range-Doppler (RD) Full data ISAR data (Fourier domain)

Compressive sensing based ISAR imaging Range-Doppler (RD) Full data ISAR data (Fourier domain) Compressive sensing (CS) Under-sampled data

Compressive sensing based ISAR imaging Advantages： 1. 2. No sidelobe interference 3. High image contrast, high target to clutter ratio Imaging using under-sampled data non-complete data Range-Doppler (RD) Full data Compressive sensing (CS) Under-sampled data ISAR data (Fourier domain)

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