Fast rank-adaptive beamforming

Author

McWhorter, Todd

Author_Institution

Mission Res. Corp., Monterey, CA, USA

fYear

2000

fDate

2000

Firstpage

63

Lastpage

67

Abstract

This paper is concerned with the construction of an adaptive beamformer, which uses the dominant subspace information of a sample covariance matrix. We assume that the sample covariance matrix and its eigenvalue decomposition (EVD) are to be updated as data arrive. We present a unified structure for updating the EVD and introduce a robust method for adapting the rank of the dominant subspace. We use the EVD of the sample covariance matrix to build a fast rank-and weight-adaptive beamformer. A useful component of the beamforming routine is a fast algorithm for updating the estimates of the direction of arrival of the dominant sources

Keywords

array signal processing; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; DOA estimation; EVD update structure; adaptive beamformer; direction of arrival estimation; dominant sources; dominant subspace information; eigenvalue decomposition; fast algorithm; fast rank-adaptive beamforming; sample covariance matrix; spectral decomposition; Algorithm design and analysis; Array signal processing; Bibliographies; Covariance matrix; Eigenvalues and eigenfunctions; Joining processes; Matrix decomposition; Performance evaluation; Robustness; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE

Conference_Location

Cambridge, MA

Print_ISBN

0-7803-6339-6

Type

conf

DOI

10.1109/SAM.2000.877969

Filename

877969