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
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;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184356
