TY - GEN
T1 - CFO and channel estimation for MISO-OFDM systems
AU - Ladaycia, Abdelhamid
AU - Abed-Meraim, Karim
AU - Bader, Ahmed
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2017/11/2
Y1 - 2017/11/2
N2 - This study deals with the joint channel and carrier frequency offset (CFO) estimation in a Multiple Input Single Output (MISO) communications system. This problem arises in OFDM (Orthogonal Frequency Division Multiplexing) based multi-relay transmission protocols such that the geo-routing one proposed by A. Bader et al in 2012. Indeed, the outstanding performance of this multi-hop relaying scheme relies heavily on the channel and CFO estimation quality at the PHY layer. In this work, two approaches are considered: The first is based on estimating the overall channel (including the CFO) as a time-varying one using an adaptive scheme under the assumption of small or moderate CFOs while the second one performs separately, the channel and CFO parameters estimation based on the considered data model. The two solutions are analyzed and compared in terms of performance, cost and convergence rate.
AB - This study deals with the joint channel and carrier frequency offset (CFO) estimation in a Multiple Input Single Output (MISO) communications system. This problem arises in OFDM (Orthogonal Frequency Division Multiplexing) based multi-relay transmission protocols such that the geo-routing one proposed by A. Bader et al in 2012. Indeed, the outstanding performance of this multi-hop relaying scheme relies heavily on the channel and CFO estimation quality at the PHY layer. In this work, two approaches are considered: The first is based on estimating the overall channel (including the CFO) as a time-varying one using an adaptive scheme under the assumption of small or moderate CFOs while the second one performs separately, the channel and CFO parameters estimation based on the considered data model. The two solutions are analyzed and compared in terms of performance, cost and convergence rate.
UR - http://hdl.handle.net/10754/626780
UR - http://ieeexplore.ieee.org/document/8081665/
UR - http://www.scopus.com/inward/record.url?scp=85041476439&partnerID=8YFLogxK
U2 - 10.23919/eusipco.2017.8081665
DO - 10.23919/eusipco.2017.8081665
M3 - Conference contribution
AN - SCOPUS:85041476439
SN - 9780992862671
SP - 2521
EP - 2525
BT - 2017 25th European Signal Processing Conference (EUSIPCO)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -