Real-Valued ESPRIT for two-dimensional DOA estimation of noncircular signals for acoustic vector sensor array

In this paper, we propose a real-valued ESPRIT algorithm for two-dimensional direction of arrival (2D DOA) estimation of noncircular signals using arbitrarily spaced acoustic vector sensor array. By utilizing the noncircularity of the signals, the proposed algorithm provides a better estimation performance while having only slightly larger computational complexity as compared to the traditional complex ESPRIT algorithm. Furthermore, the proposed algorithm gives automatically paired azimuth and elevation angle estimates without requiring extra pair matching. Simulation results are presented to demonstrate the estimation performance of the proposed algorithm as compared to the traditional ESPRIT algorithm as well as Cramer-Rao bound (CRB).