MUSIC, maximum likelihood, and Cramer-Rao bound
Petre Stoica, Arye Nehorai · IEEE Transactions on Acoustics Speech and Signal Processing · 1989
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.>