DOA estimation in monostatic MIMO array based on sparse signal reconstruction

In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the received data matrix can be penalties based on the l
1
-norm. The optimization problem can be solved exploiting the second-order cone programming framework. The proposed method for monostatic MIMO array could achieve more accurate DOA estimation than the traditional DOA estimation methods. The simulation examples are presented to demonstrate the effective of the proposed method in monostatic MIMO array.