Sparse minimum mean square error(MMSE) blind beamformer

Abstract

To reduce implementation cost and power consumption, a sparse minimum mean square error (MMSE) beamformer is designed using the orthogonal matching pursuit algorithm to compute the locations and weights of few selected active antenna elements and estimate the direction-of-arrival (DOA) angles and the number of sources. The estimated DOAs are used to reconstruct the received signal covariance matrix and improve robustness to small sample size effects. Simulation results demonstrate the superior performance of the proposed sparse beamformer designs compared with state-of-the-art algorithms in the literature.