SIMO array imaging based on compressed sensing and fast iterative shrinkage-thresholding algorithm

An effective imaging approach based on compressed sensing (CS) and fast iterative shrinkage-thresholding algorithm (FISTA) is proposed to realize the two-dimensional imaging in the single-input multiple-output (SIMO) radar system. In comparison with the traditional imaging method based on matched filtering, considerable simplification of the hardware structure would come true through the implementation of the imaging method presented in this paper. It takes full advantage of the superiority of CS in signal processing to realize the sparsity of the array elements and the stepped frequency points, and restores the echo signal by FISTA, which not only preforms excellently but has enough high efficiency. In the end, the two-dimensional imaging result through numerical simulations would be presented to verify the validity and effectiveness of this particular imaging method.