Low Complexity and High Accuracy Angle of Arrival Estimation Using Eigenvalue Decomposition With Extension to 2D AOA and Power Estimation
In this paper, an Angle Of Arrival (AOA) estimator is presented. Accurate AOA estimation is very crucial for many applications such as wireless positioning and signal enhancement using space processing techniques. The proposed estimator is based upon applying the EigenValue Decomposition (EVD) method on the cross-correlation matrix of the received signals at two sides of the antenna array doublets. The proposed method is named the Eigenvalue-Decomposition-Based AOA (EDBA) estimator. In comparison with the ESPRIT algorithm, the EDBA has less complexity because the decomposition in the EDBA method is performed only once and on a smaller matrix dimension than that in the ESPRIT algorithm where the decomposition is performed twice.