Abstract
An improved MUSIC algorithm for direction-of-arrival estimation is introduced that accounts both for large array sizes N comparatively with the number of independent observations n and for the impulsiveness of the background environment (e.g., presence of outliers in the observations). This method derives from the spiked G-MUSIC algorithm proposed in [1] and from the recent works by one of the authors on the random matrix analysis of robust scatter matrix estimators [2]. The method is shown to be asymptotically consistent where classical approaches are not. This superiority is corroborated by simulations.