The Generalized Correntropy-Analogous Statistics Based Direction of Arrival Estimation in Impulsive Noise Environments

According to the limitations of the FLOM based direction of arrival (DOA) methods, inspired by the concept of correntropy, this letter proposes a new class of statistics, namely, the generalized correntropyanalogous statistics (GCAS), and the corresponding new estimation for DOA in the Alpha stable noise conditions. The simulation results show that the proposed GCAS-MUSIC algorithm is much better than those of the fractional lower order statistics based FLOM-MUSIC and PFLOMMUSIC algorithms under low SNR conditions and multi-source signals environment.