Title :
OFDM Signal Detection in Doubly Selective Channels with Whitening of Residual Intercarrier Interference and Noise
Author :
Wang, Hai-wei ; Lin, David W. ; Sang, Tzu-Hsien
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
Orthogonal frequency-division multiplexing (OFDM) transmission in time-varying channels suffers from intercarrier interference (ICI). Existing ICI countermeasures usually address a few dominant ICI terms only and treat the residual as similar to white noise. We show that the residual ICI has high normalized autocorrelation and that this normalized autocorrelation is insensitive to the maximum Doppler frequency and the multipath channel profile, among other things. The residual ICI can thus be whitened in a largely channel-independent manner, leading to significantly improved detection performance. Simulation results confirm the theoretical analysis. In particular, they show that the proposed technique can lower the ICI-induced error floor by several orders of magnitude in maximum-likelihood sequence estimation (MLSE) designed to address a few dominant ICI terms.
Keywords :
OFDM modulation; intercarrier interference; maximum likelihood sequence estimation; multipath channels; signal detection; time-varying channels; white noise; ICI; MLSE; OFDM signal detection; OFDM transmission; doubly selective channels; maximum Doppler frequency; maximum-likelihood sequence estimation; multipath channel profile; normalized autocorrelation; orthogonal frequency-division multiplexing transmission; residual intercarrier interference; time-varying channels; white noise; Analytical models; Autocorrelation; Frequency division multiplexing; Interference; Maximum likelihood estimation; Multipath channels; OFDM; Signal detection; Time-varying channels; White noise;
Conference_Titel :
Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2518-1
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2010.5493882