TY - GEN
T1 - Joint carrier frequency offset and channel estimation in OFDM based non-regenerative wireless relay networks
AU - Thiagarajan, L. B.
AU - Sun, Sumei
AU - Quek, Tony Q.S.
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Cooperative relaying is an effective approach to combat wireless fading. However, the reliability enhancements depend strongly on the accuracy of the carrier frequency offset (CFO) compensation and channel estimation algorithms. In this paper, we show that CFO compensation at relay is necessary in non-regenerative OFDM based wireless relay networks with relays employing space-time coding. A simple training scheme available for estimating space-time channel is exploited to estimate the CFO at the relay. Maximum likelihood (ML) and least squares (LS) based joint CFO and channel estimators are constructed for estimating the CFO and the product channel (effective channel from source to destination) at destination. For non-regenerative OFDM based wireless relays, we prove that the LS based estimator is equivalent to the ML based estimator. Theoretical mean square error for the product channel estimator is also derived.
AB - Cooperative relaying is an effective approach to combat wireless fading. However, the reliability enhancements depend strongly on the accuracy of the carrier frequency offset (CFO) compensation and channel estimation algorithms. In this paper, we show that CFO compensation at relay is necessary in non-regenerative OFDM based wireless relay networks with relays employing space-time coding. A simple training scheme available for estimating space-time channel is exploited to estimate the CFO at the relay. Maximum likelihood (ML) and least squares (LS) based joint CFO and channel estimators are constructed for estimating the CFO and the product channel (effective channel from source to destination) at destination. For non-regenerative OFDM based wireless relays, we prove that the LS based estimator is equivalent to the ML based estimator. Theoretical mean square error for the product channel estimator is also derived.
UR - https://www.scopus.com/pages/publications/70349199020
UR - https://www.scopus.com/pages/publications/70349199020#tab=citedBy
U2 - 10.1109/ICASSP.2009.4960147
DO - 10.1109/ICASSP.2009.4960147
M3 - Conference contribution
AN - SCOPUS:70349199020
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2569
EP - 2572
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -