Two-Dimensional Estimation Method for Bistatic MIMO Radar Assisted by Intelligent Reflecting Surfaces

Intelligent Reflecting Surfaces (IRS) mark a major advancement in wireless communication, enabling Multiple-Input Multiple-Output (MIMO) radar to detect targets in non-line-of-sight (NLOS) conditions by reconstructing wireless channels. However, existing optimization-based methods are often too complex for practical use. This paper addresses angle estimation in arbitrary-manifold array bistatic MIMO radar and proposes a joint two-dimensional direction-of-departure (2D-DOD) and two-dimensional direction-of-arrival (2D-DOA) estimation algorithm assisted by IRS. A tensor decomposition approach is used for 2D-DOD, leveraging the multi-dimensional structure of received signals for improved accuracy and robustness. For 2D-DOA, an overcomplete dictionary matrix enables high-resolution estimation through value matching. The method supports joint NLOS angle estimation without prior knowledge of the target-IRS channel. Complexity and estimation error are analyzed, and simulations validate the method’s effectiveness and precision in IRS-assisted MIMO radar systems.