TY - GEN
T1 - Greedy Sparse Channel Estimation for Millimeter Wave Communications
AU - Lim, Sun Hong
AU - Won Choi, Jun
AU - Shim, Byonghyo
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2017R1D1A1A09000602) and Samsung Research Funding & Incubation Center of Samsung Electronics under Project Number SRFC-IT-1601-09.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/22
Y1 - 2019/2/22
N2 - In this paper, we propose a new greedy channel estimation technique which can reconstruct dynamic sparse signals for millimeter wave (mmWave) communication system. In presence of the mobile user under high mobility, the angle of arrival (AoA) and angle of departure (AoD) is changing with time. We assume that the AoA and AoD are varying by discrete-state Markov random process. We formulate the estimation problem for mmWave channel as joint estimation problem of two variables; 1)AoA and AoD indices, and 2)the amplitude vector in the angular domain. The proposed greedy algorithm effectively estimate the AoD and AoA indices accounting for sparse characteristics and dynamics of the channel. Our experimental evaluation demonstrates that the proposed algorithm can obtain good channel estimation performance with small amount of computational power.
AB - In this paper, we propose a new greedy channel estimation technique which can reconstruct dynamic sparse signals for millimeter wave (mmWave) communication system. In presence of the mobile user under high mobility, the angle of arrival (AoA) and angle of departure (AoD) is changing with time. We assume that the AoA and AoD are varying by discrete-state Markov random process. We formulate the estimation problem for mmWave channel as joint estimation problem of two variables; 1)AoA and AoD indices, and 2)the amplitude vector in the angular domain. The proposed greedy algorithm effectively estimate the AoD and AoA indices accounting for sparse characteristics and dynamics of the channel. Our experimental evaluation demonstrates that the proposed algorithm can obtain good channel estimation performance with small amount of computational power.
UR - http://www.scopus.com/inward/record.url?scp=85063216727&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2018.8650065
DO - 10.1109/TENCON.2018.8650065
M3 - Conference contribution
AN - SCOPUS:85063216727
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 1628
EP - 1632
BT - Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Region 10 Conference, TENCON 2018
Y2 - 28 October 2018 through 31 October 2018
ER -