Robust adaptive beamforming based on propagator method and Eigenspace Beamformer

Author

Pengcheng, Yu ; Peng, Yang ; Fei, Yan

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China

fYear

2012

fDate

23-27 July 2012

Firstpage

151

Lastpage

153

Abstract

A novel algorithm based on propagator method (PM) and Eigenspace Beamformer (ESB) for robust adaptive beamforming is presented. It has robust characteristics under the conditions of finite samples, desired signal point error and high SNR environment. By using PM, the signal subspace can be derived by propagator matrix, which does not need the complicated eigenvalue decomposition (EVD) or singular-value decomposition (SVD). The efficiency of this method is verified by numerical simulations.

Keywords

adaptive signal processing; array signal processing; eigenvalues and eigenfunctions; singular value decomposition; ESB; EVD; SVD; eigenspace beamformer; eigenvalue decomposition; high SNR environment; numerical simulations; propagator matrix method; robust adaptive beamforming; signal point error; signal subspace; singular-value decomposition; Array signal processing; Arrays; Interference; Robustness; Signal to noise ratio; Vectors; eigenspace beamformer; propagator method; robust adaptive beamforming;

fLanguage

English

Publisher

ieee

Conference_Titel

Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2012

Conference_Location

New Taipei City

Print_ISBN

978-1-4673-1867-9

Type

conf

DOI

10.1109/CSQRWC.2012.6294999

Filename

6294999