A Novel Algorithm for HRWS SAR Imaging Based on Sparse Beamforming

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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Yang, Taoli (University of Electronic Science and Technology of China, China)
Wang, Yong (East Carolina University, USA)

A novel imaging algorithm for the multi-channel high resolution and wide swath (HRWS) synthetic aperture radar (SAR) is presented. By adding a sparse constraint to the conventional adaptive beamformer, the algorithm can not only suppress the ambiguities, but also reduce the sidelobe level and increase the robustness against the steering error. In addition, the algorithm has no strict requirement for the estimated covariance matrix compared to previous adaptive processing algorithms. Finally, the simulated results validate the proposed algorithms.