Title :
Channel estimation for PRP-OFDM in slowly time-varying channel: first-order or second-order statistics?
Author :
Ma, Yi ; Yi, Na ; Tafazolli, Rahim
Author_Institution :
Center for Commun. Syst. Res., Univ. of Surrey, UK
fDate :
3/1/2006 12:00:00 AM
Abstract :
The statistics-based channel estimators can estimate the channel state information (CSI) in the static channel but can only obtain the averaged CSI (ACSI) in the time-varying (TV) channel. This letter investigates both first-order statistics (FOS) and second-order statistics (SOS)-based channel estimators for the pseudo random postfix (PRP) orthogonal frequency-division multiplexing system in the slowly TV channel. It is shown that the FOS-based approach outperforms the SOS-based approaches in the ACSI estimation. Using estimated ACSIs for the channel equalization, simulation results indicate that the SOS-based approaches converge to the FOS-based approach in the high signal-to-noise ratio range.
Keywords :
OFDM modulation; channel estimation; equalisers; statistical analysis; time-varying channels; ACSI; FOS; OFDM; PRP; SOS; averaged CSI; channel equalization; channel state information estimation; first-order statistic; orthogonal frequency-division multiplexing system; pseudo random postfix; second-order statistic; statistics-based channel estimator; time-varying channel; Channel estimation; Channel state information; Frequency division multiplexing; Frequency estimation; OFDM; Signal to noise ratio; State estimation; Statistics; TV; Time-varying channels; Channel estimation; first-order statistics (FOS); orthogonal frequency-division multiplexing (OFDM); second-order statistics (SOS);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.862620
