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

Volume

1

fYear

2006

fDate

6-9 Aug. 2006

Firstpage

306

Lastpage

310

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on

Conference_Location

San Juan

ISSN

1548-3746

Print_ISBN

1-4244-0172-0

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2006.382058

Filename

4267135