Title :
Pilot-assisted channel estimation method for OFDMA systems over time-varying channels
Author :
Li, Dan ; Feng, Suili ; Ye, Wu
Author_Institution :
Dept. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fDate :
11/1/2009 12:00:00 AM
Abstract :
Conventional time-varying (TV) channel estimation (CE) methods for OFDM systems need optimal evenly spaced pilots to track channel time variations in one symbol period and the inter-carrier interference (ICI) on pilots caused by Doppler spread are regarded as noise. For practical OFDMA systems, the required evenly spaced pilots are unsatisfied and the ICI on pilots increase estimation errors. In this letter, a TV CE method for practical OFDMA systems is proposed. The time variations of the frequency domain transmission function in one symbol period are approximated by a linear model in time-frequency blocks for each user. Time domain transformations are avoided and evenly spaced pilots are not required. Furthermore, the ICI on pilots are mitigated by correlative coding. Simulation results demonstrate the Symbol-error-rate (SER) and mean-square- error (MSE) performances of the proposed OFDMA CE method over TV channels.
Keywords :
OFDM modulation; channel coding; channel estimation; channel spacing; error statistics; frequency division multiple access; intercarrier interference; mean square error methods; mobile radio; time-frequency analysis; time-varying channels; Doppler spread; OFDMA systems; channel spacing; channel time variation; correlative coding; frequency domain transmission function; inter-carrier interference; linear model; mean-square-error method; mobile communication; pilot-assisted channel estimation method; symbol-error-rate; time-frequency block; time-varying channel; Channel estimation; Estimation error; Frequency division multiaccess; Frequency domain analysis; Linear approximation; OFDM; TV interference; Time frequency analysis; Time varying systems; Time-varying channels; Time-varying channels, OFDMA, pilot-assisted channel estimation, linear model, correlative coding;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.091146