DOA estimation for monostatic MIMO radar with a few number of snapshots

This paper proposes a reducing-complexity approach to find the direction-of-arrival (DOA) for the monostatic multiple-input-multiple-output (MIMO) radar when the number of data snapshots is low. Due to the targets´ sparsity in the space field, the DOA estimation problem can be converted to recovering the sparse signal from the received data. An overcomplete dictionary of the array manifold for the MIMO radar is used to establish the sparse signal model of the problem. Using the property of the Kronecker product of the receive steering vector and transmit steering vector, the dimension of the received signal can be reduced. Finally one can obtain the DOA estimation via a nonparametric iterative adaptive approach. The proposed method has higher resolution than the Capon algorithm with a few snapshots. The simulation results confirm the effectiveness of the new method.