Title :
New maximum likelihood approach to multiple signal estimation
Author :
Lo, James Ting-Ho
Author_Institution :
Dept. of Math., Maryland Univ., Catonsville, MD, USA
Abstract :
A novel approach is presented that greatly reduces the amount of computation for the maximum-likelihood estimation of the multiple signal arrival directions. The approach iterates a finite sequence of linear regression procedures and is therefore called cyclic regression. It is believed that cyclic regression requires much less computation than MUSIC. Being very versatile, the approach can effectively handle array sensor uncertainties
Keywords :
filtering and prediction theory; signal detection; MUSIC; array sensor uncertainties; cyclic regression; linear regression; maximum likelihood approach; multiple signal arrival directions; multiple signal estimation; Additive noise; Covariance matrix; Degradation; Linear regression; Mathematics; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Transmission line matrix methods; Uncertainty;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197257
