DocumentCode
2885156
Title
Signal eigenvectors decomposition and direction of arrival estimation
Author
Liu, Qing-hang ; Zou, Li-He
Author_Institution
Dept. of Inf. & Control Eng., Xi´´an Jiaotong Univ., China
fYear
1991
fDate
16-17 Jun 1991
Firstpage
344
Abstract
Presents a new algorithm for direction-of-arrival (DOA) estimation. Based on the unique decomposition of large eigenvectors of array covariance matrix, an iterative algorithm is proposed, which is valid in any case whether the sources are coherent or not. Simulations showed that the new approach has a significant improvement in performance over MUSIC at low SNR or short data
Keywords
eigenvalues and eigenfunctions; iterative methods; signal processing; SNR; array covariance matrix; decomposition; direction of arrival estimation; eigenvectors; iterative algorithm; signal processing; Control engineering; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Iterative algorithms; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Signal resolution; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICCAS.1991.184356
Filename
184356
Link To Document