Adaptive wideband beamforming with robustness against presteering errors

Author

El-Keyi, Amr ; Kirubarajan, Thia ; Gershman, Alex B.

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.

fYear

2006

fDate

12-14 July 2006

Firstpage

11

Lastpage

15

Abstract

We develop a wideband adaptive beamformer with an improved robustness against presteering errors. The proposed beamformer employs the presteered broadband array processor and models the uncertainty in the array manifold as norm-bounded phase errors at the outputs of the presteering delay filters. A state-space model is developed for this robust beamforming problem, and an extended Kalman filter (EKF) is used to estimate the beamformer weight vector adaptively with a low computational complexity.

Keywords

Kalman filters; adaptive signal processing; array signal processing; computational complexity; nonlinear filters; adaptive wideband beamforming; beamformer weight vector; computational complexity; extended Kalman filter; presteered broadband array processor; presteering delay filters; presteering errors; state-space model; Array signal processing; Computer errors; Delay; Finite impulse response filter; Frequency; Phased arrays; Robustness; Sensor arrays; Uncertainty; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on

Conference_Location

Waltham, MA

Print_ISBN

1-4244-0308-1

Type

conf

DOI

10.1109/SAM.2006.1706074

Filename

1706074