Adaptive Digital Non-Blind Beamformer for Small Number of Snapshots

The adaptive digital beamformer that is adjusting the weight vector according to Least Square Error (LSE) criteria is presented. The proposed beamformer has a recursive implementation with linear computational complexity and high numerical performance when the number of available snapshot is less then number of antenna array elements. Its implementation is based on the stable Householder decomposition of a sample correlation matrix and application of vector operations instead of matrix operations in the conventional RLS beamformer.