Low-rank covariance matrix tapering for robust adaptive beamforming

Author

Rübsamen, Michael ; Gerlach, Christian ; Gershman, Alex B.

Author_Institution

Commun. Syst. Group, Tech. Univ. Darmstadt, Darmstadt

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

2333

Lastpage

2336

Abstract

Covariance matrix tapering (CMT) is a popular approach to improve the robustness of adaptive beamformers against moving or wideband interferers. In this paper, we develop a computationally efficient online implementation of the CMT technique based on a low-rank approximation of the taper matrix and the recursive least squares (RLS) algorithm. It is demonstrated that the performance of the proposed low-rank CMT approach is very close to that of the conventional CMT technique.

Keywords

array signal processing; covariance matrices; interference (signal); least squares approximations; low-rank covariance matrix tapering; recursive least squares algorithm; robust adaptive beamforming; taper matrix; wideband interferers; Adaptive arrays; Array signal processing; Covariance matrix; Interference constraints; Least squares approximation; Narrowband; Robustness; Sensor arrays; Signal to noise ratio; Wideband; Covariance matrix tapering; low-rank approximations; robust adaptive beamforming;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518114

Filename

4518114