TY - GEN
T1 - Asymptotically efficient reduced-complexity frequency offset estimation for uplink MIMO-OFDMA systems
AU - Sezginer, Serdar
AU - Bianchi, Pascal
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this paper, we address the joint data-aided estimation of the frequency offsets and channel coefficients in the uplink MIMO-OFDMA systems. A novel low complexity MLbased joint estimator is proposed which is applicable for any subcarrier assignment scheme (SAS). It is shown that the proposed estimator is asymptotically efficient, i.e., the variance of the estimates achieves the performance bounds for large number of subcarriers. Moreover, this estimator is generalized in such a way that the resulting estimators achieve the performance bounds for reasonable training sizes. Simulation results sustain all our claims.
AB - In this paper, we address the joint data-aided estimation of the frequency offsets and channel coefficients in the uplink MIMO-OFDMA systems. A novel low complexity MLbased joint estimator is proposed which is applicable for any subcarrier assignment scheme (SAS). It is shown that the proposed estimator is asymptotically efficient, i.e., the variance of the estimates achieves the performance bounds for large number of subcarriers. Moreover, this estimator is generalized in such a way that the resulting estimators achieve the performance bounds for reasonable training sizes. Simulation results sustain all our claims.
UR - https://www.scopus.com/pages/publications/38549103271
U2 - 10.1109/ICC.2007.478
DO - 10.1109/ICC.2007.478
M3 - Conference contribution
AN - SCOPUS:38549103271
SN - 1424403537
SN - 9781424403530
T3 - IEEE International Conference on Communications
SP - 2877
EP - 2882
BT - 2007 IEEE International Conference on Communications, ICC'07
T2 - 2007 IEEE International Conference on Communications, ICC'07
Y2 - 24 June 2007 through 28 June 2007
ER -