DOA estimation using cross-correlation matrix

In this paper, a computationally efficient algorithm to estimate two-dimensional (2-D) direction-of-arrival (DOA) angles of narrowband signals impinging on an L-shape array is proposed. This report was inspired by the work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, its performance is inferior to the subspace based methods in terms of estimation accuracy. Moreover, the correlation information between the L-shape subarray sensors is not fully utilized. This motivates us to develop a subspace-based method by exploiting the L-shape array geometry and the cross-correlation information among sensor data. Simulation results show the effectiveness and validation of advantages of the proposed method in comparison to PMLA and other estimation algorithms.