TY - GEN
T1 - Efficient beamforming training and channel estimation for MMWave MIMO-OFDM systems
AU - Wang, Hanyu
AU - Fang, Jun
AU - Duan, Huiping
AU - Li, Hongbin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - We consider the problem of channel estimation for millimeter wave (mmWave) MIMO-OFDM systems. To efficiently probe the channel, the transmitter forms multiple beams simultaneously and steer them towards different directions. The objective of this paper is to devise the beamtraining patterns and develop an efficient algorithm to estimate the channel. By exploiting the common sparsity inherent in MIMO-OFDM mmWave channels, we develop a sparse bipartite graph coding-based method for joint beamforming training and channel estimation. Simulation results are provided to show the effectiveness of the proposed method.
AB - We consider the problem of channel estimation for millimeter wave (mmWave) MIMO-OFDM systems. To efficiently probe the channel, the transmitter forms multiple beams simultaneously and steer them towards different directions. The objective of this paper is to devise the beamtraining patterns and develop an efficient algorithm to estimate the channel. By exploiting the common sparsity inherent in MIMO-OFDM mmWave channels, we develop a sparse bipartite graph coding-based method for joint beamforming training and channel estimation. Simulation results are provided to show the effectiveness of the proposed method.
KW - Beam alignment
KW - MIMO-OFDM systems
KW - MmWave communication
UR - http://www.scopus.com/inward/record.url?scp=85092536502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092536502&partnerID=8YFLogxK
U2 - 10.1109/SAM48682.2020.9104337
DO - 10.1109/SAM48682.2020.9104337
M3 - Conference contribution
AN - SCOPUS:85092536502
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
BT - 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
T2 - 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
Y2 - 8 June 2020 through 11 June 2020
ER -