Title :
ML Time-Frequency Synchronization for MIMO-OFDM Systems in Unknown Frequency Selective Fading Channels
Author :
Saemi, Amir ; Meghdadi, Vahid ; Cances, Jean-Pierre ; Zahabi, Mohammad Reza ; Dumas, Jean-Michel
Author_Institution :
Limoges Univ.
Abstract :
This paper addresses maximum-likelihood (ME) time-frequency synchronization algorithm joint with channel estimation for MIMO-OFDM systems in frequency selective fading channels. In proposed algorithm, we use two steps to maximize a proposed metric to obtain first frequency offset and then timing. Using these two estimates, the channel is identified. An iterative algorithm is proposed to improve frequency offset estimation. The performance of the proposed synchronization approach, in terms of timing failure probability and mean square error of the estimated frequency offset, was compared with literature. Based on simulation results, the Cramer-Rao lower bound is obtained with a few iterations
Keywords :
MIMO systems; OFDM modulation; channel estimation; fading channels; frequency estimation; maximum likelihood estimation; mean square error methods; synchronisation; telecommunication network reliability; time-frequency analysis; Cramer-Rao lower bound; MIMO-OFDM systems; ML time-frequency synchronization; channel estimation; frequency offset estimation; maximum-likelihood time-frequency synchronization algorithm; mean square error; timing failure probability; unknown frequency selective fading channels; Channel estimation; Fading; Frequency estimation; Frequency synchronization; Iterative algorithms; MIMO; Maximum likelihood estimation; OFDM; Time frequency analysis; Timing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on
Conference_Location :
Helsinki
Print_ISBN :
1-4244-0329-4
Electronic_ISBN :
1-4244-0330-8
DOI :
10.1109/PIMRC.2006.254010