DocumentCode :
226893
Title :
An improved channel estimation based on generalized DFT for OFDM system
Author :
Guihong Li ; Xiaojun Jing ; Songlin Sun ; Hai Huang
Author_Institution :
Key Lab. of Trustworthy Distrib. Comput. & Service, BUPT, Beijing, China
fYear :
2014
fDate :
24-26 Sept. 2014
Firstpage :
341
Lastpage :
345
Abstract :
The traditional channel estimation based on Discrete Fourier Transform (DFT) for Orthogonal Frequency Division Multiplexing (OFDM) system has significantly outperformed least square (LS) or minimum mean-square error (MMSE) channel estimation by eliminating the impact of noise beyond the maximum channel delay. However, its performance is degraded due to the presence of set correlations among the basis functions. In order to overcome the problem, Generalized Discrete Fourier Transform (GDFT) with nonlinear phase functions which is a generalized theoretical framework for DFT has been introduced to estimate channel in this paper. GDFT can be designed optimally for phase functions based on a variety of correlation metrics to reduce inter-symbol interference (ISI) and inter-carrier interference (ICI) that determine the accuracy of the channel estimators. Simulation results show that GDFT improves the correlation performance dramatically over DFT and channel estimation based on GDFT has better bit-error-rate (BER) performance than that based on DFT.
Keywords :
OFDM modulation; channel estimation; discrete Fourier transforms; error statistics; least mean squares methods; BER; DFT; ICI; ISI; OFDM system; bit-error-rate; channel estimation; channel estimators; discrete Fourier transform; inter-carrier interference; inter-symbol interference; least square; minimum mean-square error; nonlinear phase functions; orthogonal frequency division multiplexing; Bit error rate; Channel estimation; Correlation; Discrete Fourier transforms; Estimation; Measurement; OFDM; Discrete Fourier Transform (DFT); Generalized Discrete Fourier Transform (GDFT); OFDM; channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location :
Incheon
Type :
conf
DOI :
10.1109/ISCIT.2014.7011928
Filename :
7011928
Link To Document :
بازگشت