Multidimensional Angles Staged Estimation for MIMO Radar Based on Redundancy Removal

 For jointly estimating multidimensional angles of bistatic MIMO radar target in colored noise environment and improving computational complexity of multidimensional angles estimation algorithm, a FOC-ESPRIT-MUSIC algorithm based on segmented partial redundancy removal in L-shaped MIMO radar array is proposed. Firstly, the reconstructive signal corresponding to DOD estimation can be obtained by generating an exchange matrix. Secondly, the fourth-order cumulant matrices of the corresponding signals of DOA estimation and DOD estimation are computed respectively. The SEG_INC_RR(segmented incomplete redundancy removal) method is proposed, and the fourth-order cumulants are segmented according to some criteria. Then, according to the need of this algorithm, some redundancy items in each segment should be removed to reduce the dimension of the cumulant matrix. Finally, FOC-ESPRIT algorithm and FOC-MUSIC algorithm are used respectively to realize the targets of 2-D DOA and 2-D DOD estimation. This method can avoid high dimensional spectrum peak search. The proposed method, which has low computational complexity, can suppress the effect of Gaussian colored noise. It can estimate fourdimensional angles of the target with multidimensional parameters paired automatically. Results of simulation validate its effectiveness.