DocumentCode
2944303
Title
Low-complexity ESPRIT method for direction finding
Author
Huang, Lei ; Wu, Shunjun ; Zhang, Linrang
Author_Institution
Nat. Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
4
fYear
2005
fDate
18-23 March 2005
Abstract
A low-complexity ESPRIT method for direction-of-arrival (DOA) estimation is proposed in this paper. Unlike the conventional subspace based methods for DOA estimation, the proposed method only needs the training data of one signal to perform the forward recursions of the multi-stage Wiener filter (MSWF), does not involve the estimate of the covariance matrix or its eigendecomposition. Thus, the proposed method is computationally advantageous. Numerical results are given to illustrate the performance of the proposed method.
Keywords
Wiener filters; direction-of-arrival estimation; recursive estimation; DOA estimation; direction finding; direction-of-arrival estimation; forward recursions; low-complexity ESPRIT method; multi-stage Wiener filter; training data; Background noise; Computational complexity; Covariance matrix; Direction of arrival estimation; Geophysics computing; Multiple signal classification; Recursive estimation; Rockets; Sensor arrays; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416162
Filename
1416162
Link To Document