DocumentCode
609980
Title
Adaptive Doppler frequency shift estimation for OFDM systems
Author
Qinghua Tian ; Qi Zhang ; Xiangjun Xin ; Dahsiung Hsu
Author_Institution
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
25-27 Oct. 2012
Firstpage
1
Lastpage
5
Abstract
Orthogonal Frequency Division Multiplexing (OFDM) is sensitive to the system frequency offset, while in high speed movement Doppler frequency shift is the main factor which causes the system frequency offset and result in inter-carrier interference (ICI) and degrade system performance. This paper proposes an adaptive Doppler frequency shift estimation method based on autocorrelation function of the time domain channel estimation. Compared with the conventional method, the estimation parameter in the proposed method is adjusted adaptively according to the velocity of mobile station, so the method has a larger estimation range. The simulation results include the performance comparison of this proposed method and the conventional method, NMSE comparison, and the performance comparison under different signal-to-noise ratio (SNR). Through investigating the simulation results, the proposed method is verified to be able to generate the accurate estimation results and robust in the noise.
Keywords
Doppler effect; OFDM modulation; channel estimation; frequency shift keying; intercarrier interference; mobile radio; wireless channels; ICI; OFDM systems; SNR; adaptive doppler frequency shift estimation; degrade system performance; frequency offset system; intercarrier interference; mobile station; orthogonal frequency division multiplexing; signal-to-noise ratio; Doppler frequency shift; OFDM; adaptive estimation; autocorrelation function;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
Conference_Location
Huangshan
Print_ISBN
978-1-4673-5830-9
Electronic_ISBN
978-1-4673-5829-3
Type
conf
DOI
10.1109/WCSP.2012.6542827
Filename
6542827
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