A real-valued adaptive eigencomponents updated algorithm for beamforming

We consider a symmetrically distributed antenna array and develop an efficient real-valued adaptive algorithm to adjust the eigencomponents of the correlation matrix by an iterative technique. The iterative technique can alleviate the computation burden in the eigendecomposition. The proposed algorithm requires only O(M) real multiplications in each iteration and can converge faster than the LMS-type algorithms. Moreover, the proposed algorithm is applied to design the weight vector of the eigenspace-based beamformer. Simulation results confirm the performance improvement of the proposed eigencomponents updated algorithm.<
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