DocumentCode
1686621
Title
A Blind Maximum-SINR Synchronization Technique for OFDM Systems
Author
Chin, Wen-Long ; Chen, Sau-Gee
Author_Institution
Dept. of Electron. Eng. & Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu
fYear
2008
Firstpage
1
Lastpage
5
Abstract
This work presents a blind synchronizer for orthogonal frequency-division multiplexing (OFDM) systems based on signal-to-interference-and-noise-ratio (SINR) maximization. Due to the incurred losses from inter-symbol interference (ISI) and inter-carrier interference (ICI) introduced by synchronization errors, the SINR of the received data drops drastically. By taking advantage of this characteristic, both the symbol time and carrier frequency offsets are intuitively estimated by maximizing the SINR metric. For the SINR metric, we propose a blind SINR estimation, which does not need prior knowledge of the channel profiles and transmitted data. As such, the proposed maxi-mum-SINR (MSINR) synchronization algorithm is non-data-aided (NDA) so that the transmission efficiency can be improved. Moreover, to reduce the computational complexity, the early-late gate (ELG) technique is proposed for the implementation of the synchronizer. Simulation results exhibit better performance for the MSINR algorithm than conventional techniques in multipath fading channels.
Keywords
AWGN channels; blind source separation; fading channels; frequency division multiplexing; intercarrier interference; intersymbol interference; maximum likelihood estimation; multipath channels; OFDM systems; blind maximum-SINR synchronization technique; blind synchronizer; early-late gate technique; inter-carrier interference; inter-symbol interference; multipath fading channels; signal-to-interference-and-noise-ratio maximization; AWGN; Computational complexity; Delay estimation; Fading; Frequency division multiplexing; Frequency estimation; Frequency synchronization; Intersymbol interference; OFDM; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.849
Filename
4698624
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