A Novel Two Dimensional Imaging Algorithm Based on Compressed Sensing for Multi-Channel SAR
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Li, Jing; Zhang, Shunsheng; Chang, Junfei (Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China)
In this paper, a novel synthetic aperture radar (SAR) two-dimensional (2-D) imaging algorithm which named CSMC is proposed based on compressed sensing (CS) and multi-channel (MC) SAR system. In particular, the algorithm operates in range and azimuth dimensions via CS technique, respectively. This new algorithm simultaneously provides a high resolution and wide-swath 2-D map of the spatial distribution of targets with a significant reduction in the number of data samples beyond the Nyquist theorem and with an implication in simplification of radar architecture. The simulation results show that this new imaging scheme presents many important applications and advantages which include higher resolution, less sampled data and higher noise immunity.