Performance analysis of eigenvector-based high resolution estimators for direction finding in correlated and coherent scenes

The authors present an asymptotic analysis of a class of high-resolution estimators for resolving correlated and coherent plane waves in noise. These estimators are constructed from certain eigenvectors associated with spatially smoothed (or unsmoothed) covariance matrices. The analysis is first carried out for the smoothed case, and from this the conventional MUSIC (unsmoothed) scheme is derived as a special case. In particular, independent of the total number of sources present in the scene, the variance of the conventional MUSIC estimator along the true arrival angles is shown to be zero within a first-order approximation. Further, the bias expressions in the smoothed case are used to obtain a resolution threshold for two coherent, equipowered plane waves in white noise