Direction-of-Arrival Estimation using a Direct-Data Approach

Author

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

Author_Institution

Electr. Eng. Program, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil

Volume

47

Issue

1

fYear

2011

fDate

1/1/2011 12:00:00 AM

Firstpage

728

Lastpage

733

Abstract

This paper presents a direct-data (DD) counterpart to the covariance-based (CB) algorithm for direction-of-arrival (DOA) estimation. The proposed DD-DOA scheme provides reduced computational complexity as compared with other ESPRIT variations, filling in a theoretical gap not covered by previously presented schemes. A mean-squared error (MSE) analysis as well as computer simulations are provided allowing performance comparisons between DD-DOA and ESPRIT algorithms. The MSE performance is compared with the Cramer-Rao lower bound (CRLB) for one source. Results indicate that the proposed algorithm represents an efficient trade-off between computational complexity and final MSE as compared with standard ESPRIT schemes.

Keywords

computational complexity; covariance analysis; direction-of-arrival estimation; mean square error methods; Cramer-Rao lower bound; covariance-based algorithm; direct-data approach; direction-of-arrival estimation; mean-squared error analysis; reduced computational complexity; Algorithm design and analysis; Computational complexity; Direction of arrival estimation; Matrix decomposition; Maximum likelihood estimation; Sensors;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2011.5705703

Filename

5705703