Details

Autor(en) / Beteiligte

• Javier Rodriguez-Fernandez, Javier
• Gonzalez-Prelcic, Nuria

Titel

Channel Estimation for Hybrid mmWave MIMO Systems With CFO Uncertainties

Ist Teil von

• IEEE transactions on wireless communications, 2019-10, Vol.18 (10), p.4636-4652

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2019

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Channel estimation at millimeter wave (mmWave) allows designing hybrid precoders and combiners to optimize performance metrics, such as the spectral efficiency. One major source of difficulty when estimating the high-dimensional and large-bandwidth channel, however, is the carrier frequency offset (CFO) that impairs the received signal. Most of the prior work assumes perfect time-frequency synchronization when estimating the channel. However, in practical systems, this assumption does not hold, and joint time-frequency synchronization is an important issue to deal with. In this paper, we propose a multi-stage algorithm for joint CFO and channel estimation. Using a training protocol between a transmitter and a receiver, we estimate first the equivalent low-SNR beamformed channel and the CFO, using the maximum-likelihood (ML) criterion. Thereafter, using these estimates, the high-dimensional multiple-input multiple-output (MIMO) channel is estimated leveraging its angular sparsity. The simulation results show that, using our proposed strategy, small estimation errors and near-optimal values of spectral efficiency can be achieved, without incurring in significant overhead and/or computational complexity.