Adaptive Compressed Sensing for High-Resolution ISAR Imaging

Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany

Tagungsband: EUSAR 2016

Seiten: 4Sprache: EnglischTyp: PDF

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Zhang, Shun-Sheng; Zhang, Yong-Qiang (University of Electronic Science and Technology of China, China)

In the process of designing the measurement matrix, most of existing compressed sensing (CS) based algorithms do not consider the possibility of adaptively selecting the next projection, which makes adaptive sensing infeasible. To address this problem, from a viewpoint of Bayesian analysis, an adaptive CS (ACS) framework is proposed for high-resolution inverse synthetic aperture radar (ISAR) imaging. Through optimizing the projections, the ACS can be achieved. The proposed framework is verified by experiments on both simulated and real data.