DocumentCode :
2970433
Title :
A Reduced Symbol Synchronization Algorithm for OFDM Systems
Author :
Li, Wenxiu ; Yuan, Chaowei ; Shen, Jie
Author_Institution :
Dept. of Electron. Eng., Shandong Coll. of Electron. Technol., Jinan, China
fYear :
2010
fDate :
13-14 Oct. 2010
Firstpage :
139
Lastpage :
142
Abstract :
In order to increase the accuracy of timing estimation in frequency selective fading (FSF) channels and reduce the computational complexity, in this paper an adaptive symbol synchronization of OFDM blind channel estimation is proposed. First, by the ML algorithm used in flat fading channels, we give a rough estimated time position dML, then choose Δd, and give the maximum d1 of the measure function in the range of dML±Δd. Next, in the range of dML±Δd we continue to look for the maximum d2. If the two values d1 and d2 coincide, now we can stop and this point shall be the timed position, otherwise continue to search until the maximum point position fixed. Simulation results show that the accuracy of this algorithm is consistent with the traditional algorithms, but its computational complexity is far lower than the traditional algorithms.
Keywords :
OFDM modulation; channel estimation; computational complexity; fading channels; maximum likelihood estimation; synchronisation; FSF channels; ML estimation; OFDM systems; adaptive symbol synchronization; blind channel estimation; computational complexity; frequency selective fading channels; orthogonal frequency division multiplexing; reduced symbol synchronization algorithm; timing estimation accuracy; Artificial neural networks; Correlation; Maximum likelihood estimation; OFDM; Signal to noise ratio; Synchronization; FSF channel; ML; adaptive decision; symbol synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-8649-6
Electronic_ISBN :
978-0-7695-4260-7
Type :
conf
DOI :
10.1109/ICCIIS.2010.55
Filename :
5629209
Link To Document :
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