Direction of arrival estimation for coherently distributed sources in 2D massive MIMO systems
Chenyan Liu, Yang Liu, Zhixin Qiu · 2016
Massive MIMO (Multiple Input Multiple Output MIMO) technology can provide very high spectral efficiency, and it is one of the candidate technologies for the next fifth generation wireless communication. In 5G communication system, the signal propagation environment is extremely complex, scattering, reflection, diffraction and refraction often occur in the process of communication. This will cause the signal sources to expand, so it is necessary to use the distributed signal sources model to deal with it. In this paper, a low complexity DOA estimation algorithm based on the coherent distributed signal source is applied to the 2D massive MIMO system. The unitary ESPRIT algorithm can make use of the center symmetry of the array to transform the matrix operation into real matrix. It can improve the signal subspace estimation and the accuracy of DOA estimation and reduce the computational complexity. Therefore, in this paper the unitary ESPRIT algorithm is applied to the 2D massive MIMO system. The results show that the proposed algorithm can effectively estimate the azimuth angle and elevation angle of coherent distributed source. Finally, the effects of MIMO massive system on different noises are analyzed, the results show that it has good noise capability.