DocumentCode :
3651939
Title :
Area and power reduction in DFT based channel estimators for OFDM systems
Author :
Michal Stala;Rakesh Gangarajaiah;Ove Edfors;Viktor Öwall
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new hardware implementation proposal for Discrete Fourier Transform (DFT) based channel estimators. The presented algorithm uses the high time correlation property of the channel estimates to reduce the complexity and the power consumption by utilizing a lower number of bits for the FFT, compared to a traditional approach. The idea is that the channel estimator processes the the difference between channel estimates from two Orthogonal Frequency Division Multiplexing (OFDM) symbols. The paper shows that the resulting HW could be reduced by 30 percent for logic and 15 percent for memory without performance loss in an Long Term Evolution (LTE) channel with up to 300 Hz Doppler. The algorithm has been tested in realistic environments with 3GPP channel models.
Keywords :
"Discrete Fourier transforms","Channel estimation","Standards","OFDM","Adders","Doppler effect","Power demand"
Publisher :
ieee
Conference_Titel :
NORCHIP, 2013
Type :
conf
DOI :
10.1109/NORCHIP.2013.6702030
Filename :
6702030
Link To Document :
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