Fast compressive sensing radar imaging based on smoothed l0 norm

Compressive sensing technique has been shown capable of reducing the number of data samples beyond the Nyquist theorem, and achieving perfect reconstruction of the original signal. Because of its compressed sampling ability, compressive sensing has been found many applications in imaging, remote sensing conversion and many other fields. Although several kinds of radar imaging arithmetic were proposed, but the reconstructed speed arithmetic are slow. In this paper, we propose a faster compressive sensing radar imaging arithmetic based on smoothed l₀ norm. Simulation experiments conformed that the algorithm has faster reconstruct speed and well reconstruct quality compared with other algorithm.