An AR Model Based Robust DOA Estimation
K. Radhakrishnan, A. Unnikrishnan · International Journal of Computer Applications · 2010
This paper investigates the possibility estimating the direction of arrival (DOA) in a system identification perspective.The system is modeled as an autoregressive (AR) process and extended Kalman filter (EKF) is used to estimate the DOA, which forms a state of the augmented state vector of the EKF.The states generate the signals at a linearly phased array.Simulation results demonstrate the feasibility of the approach to estimate DOA to a reasonable degree of convergence especially at high SNRs.