An Improved MUSIC DOA Estimation Algorithm for Monostatic MIMO Radar without Knowledge of Waveforms Correlated Matrix

The issue of angle estimation in Multiple-Input Multiple-Output (MIMO) radar is discussed without knowledge of waveforms correlated matrix, and an improved MUltiple SIgnal Classification (MUSIC) algorithm is proposed for Direction Of Arrival (DOA) estimation in monostatic MIMO radar. The proposed algorithm does not require the knowledge of transmit waveforms correlated matrix, and has better angle estimation performance than the conventional Propagator Method (PM), Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm, and MUSIC based on reconstruction of output signal. And the algorithm can be used in MIMO radar with any array construction for angle estimation, and the Cramr-Rao Bound (CRB) in monostatic MIMO radar is derived. The simulation results demonstrate the effectiveness of the proposed approach.