Simple and Efficient Cross-Correlation Method for Estimating 2-D Direction of Arrival

Inspired by the recent 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, like all other PM based methods, its performance is slightly inferior to the subspace based methods in terms of estimation accuracy and the number of estimated sources. 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. Benefits of the proposed method include improved performance, and reduction of the computationally burden further. Simulation results are presented to demonstrate the effectiveness and validation of advantages of the proposed method in comparison to PMLA and other estimation algorithms.