Adaptive beamforming with compressed sensing for sparse receiving array

An adaptive digital beamforming technique with compressed sensing (CS) for sparse receiving arrays is proposed. Because of the angle sparseness of arriving signals, CS theory can be adopted to sample receiving signals. Then, receiving signals from absent elements on the antenna aperture can be reconstructed by using CS method. Adaptive digital beamforming algorithms are adopted to form antenna beam, whose main lobe is steered to the desired direction and nulls steered to the directions of interference.