DocumentCode :
3392012
Title :
An improved channel estimation method for NC-OFDM systems in Cognitive Radio context
Author :
Min, Jia ; Xue-mai, Gu ; Qun, Wu
Author_Institution :
Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
17-19 Aug. 2011
Firstpage :
147
Lastpage :
150
Abstract :
Non-contiguous OFDM (NC-OFDM) system is popular as its characteristics of avoiding interference by licensed users detection in Cognitive Radio (CR) text. Some traditional channel estimation methods can not be applied to the NC-OFDM systems directly as its non-contiguous subcarrier. The improved time-domain channel estimation method which is different with the traditional LS and DFT channel estimation methods is proposed in this paper. It adopted the spectrum sensing based on CR context at the transmitter and receiver before the IFFT block and after the FFT blocks, respectively. The simulation results verify that the mean square error (MSE) and bit error rate (BER) performance outperform than those of the conventional schemes under the same condition.
Keywords :
OFDM modulation; channel estimation; cognitive radio; error statistics; fast Fourier transforms; mean square error methods; time-domain analysis; BER performance; CR context; DFT channel estimation method; FFT blocks; IFFT block; LS channel estimation method; MSE performance; NC-OFDM systems; bit error rate performance; cognitive radio context; improved time-domain channel estimation method; interference avoidance; licensed user detection; mean square error performance; noncontiguous OFDM system; noncontiguous subcarrier; spectrum sensing; Bit error rate; Channel estimation; Cognitive radio; Discrete Fourier transforms; OFDM; Sensors; Time domain analysis; CR; OFDM; channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking in China (CHINACOM), 2011 6th International ICST Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0100-9
Type :
conf
DOI :
10.1109/ChinaCom.2011.6158137
Filename :
6158137
Link To Document :
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