Sidelobe Suppression for Blind Adaptive Beamforming with Sparse Constraint

Blind adaptive beamforming has been widely used in radio communication systems for long-distance and high-speed transmission. The high sidelobe level of the beam pattern using the classic blind beamforming algorithm known as spectral self-coherent restoral method may lead to severe degradations under the conditions of unexpected interferences or high noise power. In this letter, a novel blind beamforming algorithm based on the sparse beam pattern constraint for all possible interferences and sidelobes is proposed to solve the problem of sidelobe and interference suppression.