Title :
MUSIC, maximum likelihood, and Cramer-Rao bound
Author :
Stoica, Petre ; Nehorai Arye
Author_Institution :
Dept. of Autom. Control, Polytech. Inst. of Bucharest, Romania
fDate :
5/1/1989 12:00:00 AM
Abstract :
The performance of the MUSIC and ML methods is studied, and their statistical efficiency is analyzed. The Cramer-Rao bound (CRB) for the estimation problems is derived, and some useful properties of the CRB covariance matrix are established. The relationship between the MUSIC and ML estimators is investigated as well. A numerical study is reported of the statistical efficiency of the MUSIC estimator for the problem of finding the directions of two plane waves using a uniform linear array. An exact description of the results is included
Keywords :
radio direction-finding; signal processing; Cramer-Rao bound; MUSIC estimator; covariance matrix; direction finding; maximum likelihood method; plane waves; signal processing; statistical efficiency; uniform linear array; Additive noise; Array signal processing; Covariance matrix; Maximum likelihood estimation; Multiple signal classification; Narrowband; Parameter estimation; Performance analysis; Sensor arrays; Signal processing;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
