Robust Semiparametric DOA Estimation in non-Gaussian Environment

Stefano Fortunati (1) , Alexandre Renaux (1) , Frédéric Pascal (1)

1 L2S - Laboratoire des signaux et systèmes

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 Cramér-Rao Bound (SSCRB).

Mots clés: Semiparametric models; robust covariance ma- trix estimation; MUSIC algorithm; Semiparametric Stochastic Cramér-Rao Bound

Domaines: Traitement du signal et de l'image [eess.SP]; Applications [stat.AP]

Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Robust Semiparametric DOA Estimation in non-Gaussian Environment. IEEE RadarConf 20, 2020, Florence, Italy. ⟨10.1109/RadarConf2043947.2020.9266451⟩. ⟨hal-02976918⟩