Full reconstruction of focal-field distribution using compressed sensing

A full reconstruction method of focal-field distribution using compressed sensing (CS) is presented. Exploring focal-field distribution characteristics, a proper sparsifying basis is constructed via the Kronecker product. The full distribution data can be obtained by solving a l
1
-norm minimization problem. Three scenarios are set up to verify the effectiveness of the proposed method. Simulation results demonstrate that the focal-field distribution can be relatively accurate reconstructed with a few array feeds.