  This paper aims at presenting a numerical investigation of the statistical
efficiency of the MUSIC (with different covariance matrix estimates) and the
IAA-APES Direction of Arrivals (DOAs) estimation algorithms under a general
Complex Elliptically Symmetric (CES) distributed measurement model.
Specifically, the density generator of the CES-distributed data snapshots is
considered as an additional, infinite-dimensional, nuisance parameter. To
assess the efficiency in the considered semiparametric setting, the
Semiparametric Stochastic Cram\'er-Rao Bound (SSCRB) is adopted as lower bound
for the Mean Square Error (MSE) of the DOA estimators.
