Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2-D MIMO Radar

In this paper, we propose a two-dimensional (2D) joint transmit array\ninterpolation and beamspace design for planar array mono-static\nmultiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA)\nestimation via tensor modeling. Our underlying idea is to map the transmit\narray to a desired array and suppress the transmit power outside the spatial\nsector of interest. In doing so, the signal-tonoise ratio is improved at the\nreceive array. Then, we fold the received data along each dimension into a\ntensorial structure and apply tensor-based methods to obtain DOA estimates. In\naddition, we derive a close-form expression for DOA estimation bias caused by\ninterpolation errors and argue for using a specially designed look-up table to\ncompensate the bias. The corresponding Cramer-Rao Bound (CRB) is also derived.\nSimulation results are provided to show the performance of the proposed method\nand compare its performance to CRB.\n