Algebraic DOA estimation and tracking using ULV decomposition

Author

Coviello, Christian M. ; Sibul, L.H. ; Yoon, Peter A.

Author_Institution

Appl. Res. Lab., Pennsylvania State Univ., State College, PA, USA

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1310

Abstract

Blind beamforming is an important technique that is used to determine signal sources from the original signals mixed with additive noise and to estimate their direction of arrival (DOA). Before recovering the DOA information, it is necessary to preprocess the data matrix to decorrelate and normalize the mixed sources before applying nonlinear algorithms for the signal separation. A popular choice for the preprocessor has been based on the singular value decomposition (SVD). In this paper we propose an alternative preprocessor based on the ULV decomposition (ULVD). We compare both in an algebraic beamformer in terms of performance and accuracy.

Keywords

AWGN; array signal processing; blind source separation; decorrelation; direction-of-arrival estimation; signal sources; singular value decomposition; ULV decomposition; additive noise; algebraic beamformer; algebraic direction of arrival estimation; blind beamforming; data matrix; decorrelate; nonlinear algorithm; preprocessor; signal separation; signal sources; singular value decomposition; Additive noise; Array signal processing; Decorrelation; Direction of arrival estimation; Educational institutions; Matrix decomposition; Sensor arrays; Source separation; State estimation; Transmission line matrix methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281112

Filename

1281112