Two-dimensional angle estimation for sparse MIMO array with velocity receive sensors based on real-valued quadrilinear decomposition

摘要

Two-dimensional direction of arrival (DOA) estimation for sparse MIMO array with velocity receive sensors is discussed, and a real-valued quadrilinear decomposition-based method is proposed. The output is firstly transformed into real-valued one via unitary transformation and then the signal subspace is obtained via low-complexity propagator method to shrink the dimension. Thereafter, the data can be fitted into a quadrilinear model, multiple matrices including the direction matrices and velocity matrix can be obtained after the quadrilinear decomposition. By combining the DOA information from these matrices, unambiguous and automatically paired two-dimensional DOA estimation can be obtained. The proposed method only involves real-valued decomposition with low dimension and requires no peak search. Furthermore, it achieves better DOA estimation performance than ESPRIT-like and trilinear decomposition-based methods. Simulation results verify the effectiveness of our approach.