Underwater 2-D Source Localization Based on Fractional Order Correlation Using Vector Hydrophone

Stable processes can model the impulsive random noises better than Gaussian distribution in array signal processing. This paper proposes a new FOC-ESPRIT method of 2-D direction finding based on the fractional order correlation and subspace technique for underwater 2-D source localization using a vector hydrophones array. Simulation experiments show that the proposed method is robust in a wide range of characteristic exponent values of stable distribution. Its performances are better than those of the conventional second order statistics based ESPRIT algorithm.