Multi-target Localization Based on Multi-stage Wiener Filter for Bistatic MIMO Radar

In order to reduce the computational complexity of target localization in bistatic multiple-input multiple-output(MIMO) radar,and avoid the singular value decomposition of the covariance matrix of the received signals and two-dimensional spectrum peak searching which are the main computational burden,the multi-stage Wiener filter(MSWF) is applied to target localization for bistatic MIMO radar.The signal subspace can be achieved by the forward recursive of MSWF,and the direction of departure(DOD) and direction of arrival(DOA) can be estimated by ESPRIT algorithm.The DOD and DOA are automatically matched,and the multi-target cross localization is achieved.The computational complexity of the proposed algorithm and ESPRIT algorithm are analyzed,and the simulation results and performance analysis verify the effectiveness of the proposed method.Theoretical analysis and simulation results demonstrate that the proposed method is computationally advantageous with the maintenance of good performance for angle estimation,and more suitable for real-time signal processing in MIMO radar.