Adaptive reduced-rank beam-forming method using joint iterative optimization

Abstract

The proposed method realizes adaptive reduced-dimension processing based on joint optimization of both reduced-dimension matrix and beam-forming weight vector. Meanwhile, the spatial spectrum reconstruction technology is used to update the covariance matrix of array data online. The simulation results show that the proposed method is robust to the dimension of the reduced-dimension matrix and significantly improves the output SINR of adaptive beam-former under the condition of few samples.