A real-valued adaptive eigencomponents updated algorithm forbeamforming

摘要

We consider a symmetrically distributed antenna array and developnan efficient real-valued adaptive algorithm to adjust theneigencomponents of the correlation matrix by an iterative technique. Theniterative technique can alleviate the computation burden in theneigendecomposition. The proposed algorithm requires only O(M) realnmultiplications in each iteration and can converge faster than thenLMS-type algorithms. Moreover, the proposed algorithm is applied tondesign the weight vector of the eigenspace-based beamformer. Simulationnresults confirm the performance improvement of the proposedneigencomponents updated algorithm