Title :
Statistical analysis of a subspace method for bearing estimation without eigendecomposition
Author :
Stoica, P. ; Söderström, T.
Author_Institution :
Dept. of Technol., Uppsala Univ., Sweden
fDate :
8/1/1992 12:00:00 AM
Abstract :
The paper studies the statistical properties of a subspace-based method for bearing estimation without eigendecomposition (BEWE). The BEWE large-sample variance is derived and shown to be bounded from below by the MUSIC large-sample variance. The drawback of being less accurate than MUSIC is balanced by BEWE´s computational advantage. In addition, it is shown that, unlike MUSIC, BEWE can accommodate the case of spatially finitely-correlated sensor noise
Keywords :
signal processing; statistical analysis; MUSIC large-sample variance; bearing estimation; large-sample variance; spatially finitely-correlated sensor noise; statistical analysis; statistical properties; subspace method;
Journal_Title :
Radar and Signal Processing, IEE Proceedings F
