Robust Constrained LMS Adaptive Beamformer

In the paper, an approach is proposed for robust constrained LMS beamforming in the presence of pointing error, array geometry error and sensor phase error (generalized as array phase errors). The basic idea is to search the optimal weight vector with constrained LMS update, and jointly search the actual array steering vector of the desired signal based on steering vector-expanded algorithm. Despite its lower computational complexity however, it turns out that the proposed algorithm has improved performance. Compared with other recursive beamformers, simulations in the presence of given errors demonstrate that the presented algorithm has more effective and robust performance