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Ab stract - This paper addresses the problem of twodimensional (2D) DOA estimation in multiple-input multiple-output (MIMO) radar system. A dimensional reduction multiple signal classification algorithm is proposed to reduce the computational complexity. By introducing the compressive sensing (CS) theory, the high-dimensional matched filtering data are projected into a lowdimensional matrix, and the sparse inverse problem is solved by the MUSIC method. Simulation results show that the performance of the proposed scheme is very close to that of the traditional twodimensional (2D) MUSIC algorithm. Since the proposed algorithm has less complexity, the proposed algorithm is more efficient than the traditional one. Index Terms - DOA estimation, MUSIC, Compressive sensing.

Low Complexity DOA Estimation Method for MIMO Radar based on MUSIC and Compressive Sensing