A Fast PARAFAC Algorithm for Parameter Estimation in Monostatic FDA-MIMO Radar

This paper studies the joint range and angle estimation of monostatic frequency diverse array multiple-input multiple-output (FDA-MIMO) radar proposes a algorithm. First, transmit direction matrix is converted into real values by unitary transformation, Vandermonde-like structure used to construct an augmented output that doubles aperture receive array. Then combined third-order tensor. Next, factor matrices are initially estimated. Finally, estimated utilizing parallel (PARAFAC) decomposition, calculated employing least square fitting. As contrasted with classic PARAFAC method, proposed method can estimate more targets provide better performance, requires less computational complexity. The availability excellence reflected numerical simulations complexity analysis.