DocumentCode :
2336638
Title :
Channel estimation method for time-varying channel based on periodic PN sequence for OFDM systems
Author :
Duan, Peng ; He, Mingyi ; Xue, MinBiao
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1796
Lastpage :
1800
Abstract :
Aimed at the performance reduction in OFDM time-varying channel for more numbers of sub-carriers, a novel periodic PN sequence based on pilot-assisted time-varying channel estimation method is proposed. Considering the fact that the energy of periodic sequence mainly concentrates on a few frequency points, at transmitter, the discrete pilot tones can be inserted into the data sequence in the frequency; at receiver, after the continuous pilot sequences are recovered, the auto-correlation calculation between it and the local PN sequence is made, thus, the noise impact on pilot is greatly reduced in time domain, and the accuracy of channel estimation is increased efficiently. The simulation results that the channel estimator with the proposed algorithm improves the mean square error (MSE), bit error ratio (BER) and bandwidth efficiency performances, especially in the more number of the sub-carriers and low signal noise ratio (SNR) circumstances.
Keywords :
OFDM modulation; channel estimation; error statistics; mean square error methods; radio transmitters; BER; OFDM systems; auto-correlation calculation; bit error ratio; channel estimation method; data sequence; mean square error; periodic PN sequence; signal noise ratio; time-varying channel; transmitter; Autocorrelation; Bit error rate; Channel estimation; Frequency estimation; Mean square error methods; Noise reduction; OFDM; Signal to noise ratio; Time-varying channels; Transmitters; OFDM; PN sequence; channel estimation; time-varying channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138506
Filename :
5138506
Link To Document :
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