Comparison of MF and CS Algorithm in 3-D Near-Field SAR Imaging

The combination of multi-input multi-output (MIMO) millimeter-wave radar sensor and synthetic aperture radar (SAR) makes the implementation of 3-D near-field millimeter-wave imaging cheaper and more practical. In this paper, a 3-D SAR imaging system based on the millimeter-wave sensor is constructed, through experiment contrast and analyzed based on the theory of matched filtering (MF) imaging algorithm and based on the theory of compressed sensing (CS) in the nearfield millimeter-wave imaging algorithm of 3-D imaging results of SAR system, the pros and cons of two kinds of algorithms are verified in theory, the imaging algorithm based on CS theory imaging effect is better than conventional MF imaging algorithm of imaging effect is concluded, along with various real imaging results.