Sparse Covariance Fitting Method for Direction of Arrival Estimation of Uncorrelated Wideband Signals

We propose a new direction of arrival estimation method for wideband uncorrelated signals. The wideband signals are first decomposed into narrowband signals. A group sparse Lasso formulation is proposed that jointly fits the powers of the signals using overcomplete dictionaries of the directions of...

Full description

Bibliographic Details
Published in:Telfor Journal
Main Authors: S. Pejoski, V. Kafedziski
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2014-11-01
Subjects:
Online Access: http://journal.telfor.rs/Published/Vol6No2/Vol6No2_A6.pdf
Description
Summary:We propose a new direction of arrival estimation method for wideband uncorrelated signals. The wideband signals are first decomposed into narrowband signals. A group sparse Lasso formulation is proposed that jointly fits the powers of the signals using overcomplete dictionaries of the directions of arrival, into the estimated covariance matrices for all narrowband signals. Then, we propose a new formulation that determines the regularization parameters and becomes the group Lasso formulation. Additionally, we propose a modified algorithm for direction of arrival estimation with lower complexity that uses conventional based methods in the preprocessing stage to reduce the number of variables in the optimization task. We compare the performance of the proposed method to the conventional methods for a circular antenna array.
ISSN:1821-3251