Title :
Adaptive Digital Non-Blind Beamformer for Small Number of Snapshots
Author :
Zaharov, Viktor V. ; Teixeira, Marvi
Author_Institution :
Polytech. Univ. of Puerto Rico, San Juan
Abstract :
The adaptive digital beamformer that is adjusting the weight vector according to Least Square Error (LSE) criteria is presented. The proposed beamformer has a recursive implementation with linear computational complexity and high numerical performance when the number of available snapshot is less then number of antenna array elements. Its implementation is based on the stable Householder decomposition of a sample correlation matrix and application of vector operations instead of matrix operations in the conventional RLS beamformer.
Keywords :
array signal processing; correlation methods; least mean squares methods; recursive estimation; vectors; adaptive digital nonblind beamformer; antenna array elements; correlation matrix; least square error criteria; linear computational complexity; recursive implementation; stable Householder decomposition; Array signal processing; Computational complexity; Convergence of numerical methods; Interference; Least squares methods; Linear antenna arrays; Matrix decomposition; Resonance light scattering; Sensor arrays; Vectors;
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2006.382058
