QR decomposition and Parallel Factor-based Model for Two-Dimensional Direction of Arrival Angle Estimation

Two-dimensional (2D) Direction-of-Arrival (DOA) estimation for elevation and azimuth angles assuming non-coherent and coherent sources is proposed. Most of the existing schemes have drawbacks in estimating 2D DOA for multiple sources including; use of large number of snapshots and complex pair matching methods. The proposed method uses QR decomposition in conjunction with parallel factor analysis (PARAFAC) in estimating the elevation (θ) and azimuth (ϕ) angles.Simulation results demonstrate the effectiveness of the proposed algorithm. Also, simulation results are shown against the Cramer-Rao Bound (CRB) as the reference.