Expanded Nested MIMO Radar for DOD and DOA Estimation Based on Tensor Model

This paper employed a bistatic expanded nested array MIMO radar to enhance the estimation performance of target Direction of Departure (DOD) and Direction of Arrival (DOA). Firstly, we configure the expanded nested array into a bistatic MIMO radar mode to achieve matched reception of target signals. Next, a Toeplitz matrix double iteration reconstruction method is proposed to address the high complexity of reconstructing the virtual covariance matrix. Subsequently, leveraging the virtual covariance matrix with a Toeplitz matrix structure, we construct a third-order tensor model to improve the utilization of structural information in the target received signals, thereby enhancing the accuracy of DOD and DOA. Finally, the COMFAC algorithm is introduced to the third-order tensor model, and the least squares method is employed to obtain estimates of the target’s transmit and receive angles. Several simulation experiments demonstrate the superiority of the proposed algorithm in this paper.