DocumentCode :
2118962
Title :
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
Link To Document :
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