DocumentCode :
427739
Title :
Long range channel prediction for adaptive OFDM systems
Author :
Wong, Ian C. ; Forenza, Antonio ; Heath, Robert W. ; Evans, Brian L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume :
1
fYear :
2004
fDate :
7-10 Nov. 2004
Firstpage :
732
Abstract :
In this paper, different techniques for long-range channel prediction for OFDM systems are investigated. Frequency domain channel prediction on each OFDM data subcarrier is first explored and it is shown that the optimum prediction filter depends only on the time-domain channel statistics for the wide-sense stationary uncorrelated scattering (WSSUS) wireless channel. Frequency domain prediction on the pilot subcarriers is investigated next, where the optimum prediction filter is determined for each pilot subcarrier and is reused for all the nearby data subcarriers. Finally, time-domain channel prediction on the multipath taps is explored. It is shown that frequency domain prediction on the pilot subcarriers performs almost identically to prediction using all subcarriers. Furthermore, it is also shown that time-domain prediction outperforms the frequency domain prediction methods.
Keywords :
OFDM modulation; adaptive filters; channel estimation; frequency-domain analysis; multipath channels; prediction theory; statistical analysis; time-domain analysis; WSSUS; adaptive OFDM system; frequency domain prediction; long-range channel prediction; multipath channel; prediction filter; time-domain channel statistics; wide-sense stationary uncorrelated scattering; Adaptive systems; Bit error rate; Delay; Feedback; Filters; Frequency domain analysis; OFDM; Prediction methods; Time domain analysis; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399231
Filename :
1399231
Link To Document :
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