Joint 2D Angle and Frequency Estimation Method Based on Parallel Factor Quadrilinear Decomposition

A novel blind joint 2D-angle and frequency estimation method is presented. At first the double parallel linear array is given. The output signal of the array antennas is analyzed and it has quadrilinear model characteristics. The frequency and 2D-angle can be estimated from the matrices via low-rank decomposition which utilizing the uniqueness of parallel factor decomposition. The method does not require searching spectral peak or pairing parameters. In comparison with the conventional methods, the algorithm has high precision estimation of parameters and works well under small sizes. The simulation results verify its effectiveness.