Title :
Estimation of source directions by eigenvector rotation and combined direction vectors-a least-squares approach
Author :
Shi, Qun ; Haber, Fred
Author_Institution :
Moore Sch. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
Several previously published eigenvector rotation methods on multiple-source direction estimation using a sensor array (G. Vezzosi, 1982, D.R. Farrier, D.J. Jefferies, 1987) are further investigated in a correlated-source environment. It is demonstrated that one rotation method is basically limited to uncorrelated sources. To overcome this deficiency, an improved estimation procedure for dealing with correlated sources based on rotation plus a least-squares fit is proposed. It is shown that a hybrid approach gives substantially improved estimates of source direction over those obtained by rotation only.<>
Keywords :
eigenvalues and eigenfunctions; least squares approximations; signal detection; combined direction vectors; correlated-source environment; eigenvector rotation methods; least-squares fit; multiple-source direction estimation; one rotation method; sensor array; Eigenvalues and eigenfunctions; Least squares methods; Signal detection;
Conference_Titel :
Systems Engineering, 1989., IEEE International Conference on
Conference_Location :
Fairborn, OH, USA
DOI :
10.1109/ICSYSE.1989.48616