A Radar Imaging Method Based on Modified DCD Regularization

Conventional sparse reconstruction method usually has high complexity in hardware implementation, which directly restricts practical process of compressed sensing (CS) imaging radar. In this paper, a modified dichotomous coordinate descent (DCD) method with low complexity is proposed. Simulation results confirm that the proposed method can obtain more accurate inversion results compared with the existing $\mathrm{H}l_{1}$-DCD algorithm.

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