Adaptive digital beamforming algorithm using neighborhood filter

Based on Neighborhood filter, this paper provided a novel subspace pursuit algorithm of compressive sensing for beamforming. After choose the best atom of the dictionary in matching pursuit, Neighborhood filter would find atoms which have a strong relativity larger than a set value. The results obtained this method can avoid overmatching, and get a balance between calculate quantity and the rate of convergence. It has a better performance than conditional LCMV in the condition of large SNR.