DOA and DOD Channel Estimation in MIMO Access Networks
Zhuqing Tang, A. Manikas · 2019
This paper is concerned with MIMO techniques for 5G+ Access Networks. In particular, a joint Direction-of-Arrival (DOA) and Direction-of-Departure (DOD) estimation approach is proposed for MIMO systems that employ antenna arrays of N-elements at the transmitter (Tx) and N-elements at the receiver (Rx), both of known geometries. In the proposed system, a weight-vector of N orthogonal binary signals of length Nc is employed on the Tx-array, and then used at the Rx-array to extend the observation space of the received signals from N to NN. In the extended observation space the manifold vectors are functions of both the DOA and DOD. The proposed approach uses these extended manifold vectors, in conjunction with a superresolution subspace approach, to find the DOA and DOD of all the multipaths of the desired user in the presence of other multiple-access users, considering that all users transmit at the same time and in the same frequency band. The performance of the proposed approach is evaluated using computer simulation studies.