DocumentCode :
2493292
Title :
Carrier frequency offset estimation in OFDMA systems based on averaging over successive blocks
Author :
Liu, Yupeng ; Petropulu, Athina P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
2009
fDate :
21-24 June 2009
Firstpage :
648
Lastpage :
652
Abstract :
An uplink OFDMA systems is considered. Different users use different transmit antennas, thus, each user contributes a different carrier frequency offset (CFO) at the receiver. The multiple CFOs introduce intercarrier interference, thus impeding user separation and transmit signal recovery. A low complexity CFO estimation approach is proposed for estimating multiple CFOs. The proposed approach relies on one or more pilot symbols per user which are placed far from each other and each one carries the same symbol over a number of successive blocks. A user´s CFO is obtained based on averaging over consecutive OFDM blocks of the symbols corresponding to the pilot tones of that user. Simulation results suggest that accurate CFOs estimation is possible with a very small amount of averaging, which makes the method applicable to the case of slowly varying channels. The proposed approach does not require channel state information, which is important as channel state information cannot be easily obtained before CFO correction.
Keywords :
OFDM modulation; frequency division multiple access; intercarrier interference; wireless channels; OFDM blocks; OFDMA systems; carrier frequency offset estimation; frequency division multiple access; intercarrier interference; receiver; transmit antennas; transmit signal recovery; wireless channels; Base stations; Channel state information; Frequency diversity; Frequency estimation; Impedance; Interference; Maximum likelihood estimation; OFDM; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
Conference_Location :
Perugia
Print_ISBN :
978-1-4244-3695-8
Electronic_ISBN :
978-1-4244-3696-5
Type :
conf
DOI :
10.1109/SPAWC.2009.5161865
Filename :
5161865
Link To Document :
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