ISAR Imaging with Randomly Sampled Data via Matrix Completion

In this paper, a new Inverse Synthetic Aperture Radar (ISAR) imaging method via matrix completion theory by far less measurements than that traditional imaging method required is proposed. In this method, signal with only a few selected frequencies instead of wideband signal is transmitted, and then the complete received data matrix can be recovered by the matrix completion due to its low-rank property; after that, range-Doppler ISAR imaging algorithm is applied on the reconstructed data to generate the ISAR image with reduced sidelobes. Finally, simulation results are shown to demonstrate the validity of the proposed method.