A Signal-Subspace-Based ESPRIT-Like Algorithm for Coherent DOA Estimation

Author

Xu, Yun-Lin ; Zhang, Hong-Shun ; Zhan, Jiang-Shu

Author_Institution

Chongqing Commun. Coll., Chongqing, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

To consider the problem of DOA (Direction-Of-Arrival) estimation in coherent environment, the most important issue is to try to eliminate the rank loss of the spatial covariance matrix. In this paper, the influence of coherent signals on the DOA estimation algorithm is analyzed. Then a signal-subspace based ESPRIT-Like algorithm is proposed. In the end, the simulation results demonstrate validity of proposed algorithm.

Keywords

covariance matrices; direction-of-arrival estimation; invariance; parameter estimation; coherent DOA estimation algorithm; direction-of-arrival estimation; rank loss elimination; rotational invariance technique; signal parameter estimation; signal-subspace-based ESPRIT-like algorithm; spatial covariance matrix; Algorithm design and analysis; Cities and towns; Covariance matrix; Direction of arrival estimation; Educational institutions; Multiple signal classification; Narrowband; Sensor arrays; Signal analysis; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5302757

Filename

5302757