Title :
A real-valued adaptive eigencomponents updated algorithm for beamforming
Author_Institution :
Dept. of Merchant Marine, Nat. Taiwan Ocean Univ., Taiwan
Abstract :
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
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; iterative methods; matrix algebra; convergence; correlation matrix; eigencomponents updated algorithm; eigenspace-based beamformer; iterative technique; multiplications; performance; real-valued adaptive algorithm; real-valued adaptive eigencomponents; simulation results; symmetrically distributed antenna array; weight vector design; Adaptive algorithm; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Approximation algorithms; Array signal processing; Convergence; Iterative algorithms; Maximum likelihood estimation; Symmetric matrices;
Conference_Titel :
Singapore ICCS '94. Conference Proceedings.
Print_ISBN :
0-7803-2046-8
DOI :
10.1109/ICCS.1994.474275
