Robust Semiparametric DOA Estimation in non-Gaussian Environment

A general non-Gaussian semiparametric model is adopted to characterize the measurement vectors, or snapshots, collected by a linear array. Moreover, the recently derived robust semiparametric efficient R-estimator of the data covariance matrix is exploited to implement an original version of the MUSIC estimator. The efficiency of the resulting R-MUSIC algorithm is investigated by comparing its Mean Squared Error (MSE) in the estimation of the source spatial frequencies with the relevant Semiparametric Stochastic Cramer-Rao Bound (SSCRB).