Target localization for MIMO radar based on Unitary ESPRIT

Aiming at solving the problem of target localization in multiple-input multiple-output(MIMO) radar,a new algorithm based on Unitary ESPRIT was presented.In this approach,the received signal data can be reconstructed based on the property of the phase delay in both the transmitter array and receiver array,and the covariance matrix of constructed signal data is a centro Hermitian matrix.Then the complex-value covariance matrix can be turned into a real-value field by Unitary transformation.The DOD and DOA can be estimated by Unitary ESPRIT and the estimated parameters are automatically paired without additional paring computation.Compared with conventional ESPRIT,the proposed algorithm enhances the information of received signal data and the angle estimation performance is improved.Furthermore,all eigen-value decomposition(EVD) and matrix calculation are in a real-valued field.Thus,the computational complexity is very low.Simulation results demonstrate the efficiency of the proposed method.