High resolution radar imaging based on compressed sensing using sparse stepped-frequency signal

In the face of sparse aperture data imaging, a method for high resolution radar imaging based on compressed sensing using sparse stepped-frequency signal is proposed in this letter. In the signal stretching process, high resolution target echo can be acquired through second sample for the coarse-resolution range profile. Based on the sparsity of the signal in the spectrogram, we can construct a reasonable partial fourier sparse basis matrix to realize the sparsity of radar data. Then, the high-resolution range profile information is recovered by using the Orthogonal Matching Pursuit (OMP) algorithm, and the high resolution target imaging can be gained whose target sidelobe is suppressed efficiently. Finally, the results with simulation data validate the feasibility and superiority of the approach.