Sparse Array Radar Staring Imaging Based on Matrix Completion

Multiple-input-multiple-output (MIMO) radar technique can be equivalent to a large number of virtual array elements, further increase the size of array aperture, then the azimuth resolution and imaging quality of MIMO radar image get improved compared to single-input-multiple output (SIMO) radar. Sparse array radar imaging technique with two-dimensional fast Fourier transform (2D-FFT) algorithm will bring high sidelobes in the radar image. However, sparse MIMO radar can reduce system cost and antennas coupling effect. Therefore, in this paper, a sparse MIMO radar imaging technique with FFT algorithm based on matrix completion is proposed to achieve higher resolution radar image rapidly. Simulation and experimental results show that the proposed method can effectively reduce the sidelobes and obtain higher azimuth resolution of the radar image.