Elevation and azimuth estimation in arbitrary planar mono-static MIMO radar via tensor decomposition

Elevation and azimuth estimation in arbitrary planar mono-static multiple-input-multiple-output (MIMO) radar via tensor decomposition is proposed. Transmit beamspace design is used to map a planar array into a Khatri-Rao product of two perpendicular desired uniform linear arrays within a range bin of interest, and to suppress sidelobes outside of the range bin of interest. Each desired array has rotational invariance property with respect to elevation and azimuth separately. Then the received MIMO radar data are folded into a fourth-order tensor along each spatial and temporal dimension. A computationally efficient tensor-based target localization method is proposed. Our simulation results demonstrate the effectiveness of the proposed method and its superiority over the matrix-based counterpart.