Abstract:Conventional Capon beamforming algorithm has relatively high sidelobe gain. The array output performance will degrade or even become invalid when there is a mismatch in the desired signal steering vector. To solve this problem, a sparse constraint Capon beamforming algorithm is proposed. The algorithm can reduce the sidelobe, and bears robustness of the desired signal uncertainty; whereas its performance will degrade when dealing with the complicated situations in which the array amplitude errors, phase errors, and desired-orientation errors exist simultaneously. A novel sparse robust Capon beamforming algorithm is put forward in this paper. It adds a deviation steering vector to the sparse Capon under worst-case performance optimization. Simulation results demonstrate the validity and superiority of this proposed algorithm.