Title :
Comparison of spatially smoothed weighted subspace methods
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
The performances of spatially smoothed weighted MUSIC and weighted state space methods/ESPRIT are analyzed, and compared for the direction of arrival (DOA) estimation problem. A key outcome of the analysis is the observation that, when a forward-backward spatially smoothed approach is used, optimally weighted MUSIC and optimally weighted state space methods/ESPRIT have identical asymptotic behavior. It is also shown that the forward-backward covariance matrix is better conditioned than the forward-only covariance matrix, providing additional justification for the use of the forward-backward approach. The analysis is shown to be extendable to the time-series frequency estimation problem, thereby providing a unified framework for dealing with DOA estimation and time-series frequency estimation
Keywords :
matrix algebra; signal processing; DOA estimation; ESPRIT; asymptotic behavior; direction of arrival; forward-backward covariance matrix; spatially smoothed weighted subspace methods; time-series frequency estimation; weighted MUSIC; Bismuth; Covariance matrix; Direction of arrival estimation; Frequency estimation; Integrated circuit noise; Multiple signal classification; Performance analysis; Smoothing methods; State estimation; State-space methods;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186577
