Fast and robust adaptive beamforming method based on l 1‐norm constraint for large array
Hu Xie, Da‐Zheng Feng, Hongbo Yu · Electronics Letters · 2014
A robust adaptive beamformer (BF) with low computational complexity is proposed, where the adaptive weight is formulated as a linear combination of the training samples vectors and the target steering vector in the high interferences‐to‐noise ratio (INR) case. When the number of samples is greater than that of the interferences, an l 1‐norm constraint is imposed on the combinational vector to force its sparsity. Simulation results indicate that the proposed algorithm outperforms some classical robust BFs.