Direction-of-Arrival Estimation using a Low-Complexity Covariance-Based Approach

Author

Ferreira, Tadeu N. ; Netto, Sergio L. ; Diniz, Paulo S R

Author_Institution

Fluminense Fed. Univ., Niteroi, Brazil

Volume

48

Issue

3

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

1924

Lastpage

1934

Abstract

This article presents a new algorithm for performing direction-of-arrival (DOA) estimation using manipulations on covariance matrices. The proposed algorithm combines a new formulation for data projection on real subspaces, together with beamspace decompositions, reducing the sizes of all data structures and computational complexity of the resulting estimation process. Theoretical analyses as well as computer simulations indicate that the proposed algorithm reduces its ESPRIT equivalent computational complexity by a minimum of 20%, while presenting similar mean-square error (MSE) performance.

Keywords

computational complexity; covariance matrices; direction-of-arrival estimation; mean square error methods; DOA estimation; ESPRIT equivalent computational complexity; MSE performance; beamspace decompositions; computer simulations; covariance matrices; data projection; data structures; direction-of-arrival estimation; low-complexity covariance-based approach; mean-square error performance; Algorithm design and analysis; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Sensors; Signal processing algorithms;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2012.6237571

Filename

6237571