Enhanced 2D-DOA Estimation for Monostatic EMVS-MIMO Radar via Phase Compensation

Multiple-input multiple-output (MIMO) sparse electromagnetic vector sensor (EMVS) arrays offer enhanced flexibility and resolution in signal processing. This study presents an improved PARAFAC-based algorithm for angle estimation in monostatic MIMO radar with arbitrary EMVS arrays. By leveraging the array data multidimensional structure and using PARAFAC decomposition for factor matrix estimation, followed by vector cross product and phase compensation techniques, the proposed method achieves super-resolution while maintaining low computational complexity. Numerical simulations confirm the superiority of the proposed method over existing algorithms.