Robust beamforming algorithm based on convex optimization multiplier method

The performance of adaptive beamforming will degrade dramatically in practical application due to angle estimation error in interference signal. Therefore, a robust adaptive beamforming method based on convex optimization multiplier is proposed in this paper. In the proposed method, the DOA information of the interfering signal is firstly calculated using MUSIC algorithm. Then the spatial smoothing algorithm is used to de-correlate. In the following, the cost function is constructed by the Lagrange multiplier method. Finally, a set of optimal weight vectors can be obtained through iteration. Simulation results show that the proposed method can effectively reduce the effect of angle estimation error in interference signal.