Advanced

Area and Power Reduction in DFT Based Channel Estimators for OFDM Systems

Stala, Michal LU ; Gangarajaiah, Rakesh LU ; Edfors, Ove LU and Öwall, Viktor LU (2013)
Abstract
This paper presents a new Hardware (HW) im- plementation 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 in the channel estimator, 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 300Hz Doppler. The... (More)
This paper presents a new Hardware (HW) im- plementation 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 in the channel estimator, 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 300Hz Doppler. The algorithm has been tested in realistic environments with 3GPP channel models. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Channel Estimator, DFT, FFT, OFDM, Orthogonal Frequency Division Multiplex
external identifiers
  • scopus:84893566761
project
EIT_DARE Digitally-Assisted Radio Evolution
language
English
LU publication?
yes
id
f9a72ac4-9535-43c2-9412-5c3fd6e1290f (old id 4175715)
date added to LUP
2016-04-04 13:44:34
date last changed
2019-05-14 03:36:10
@misc{f9a72ac4-9535-43c2-9412-5c3fd6e1290f,
  abstract     = {This paper presents a new Hardware (HW) im- plementation 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 in the channel estimator, 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 300Hz Doppler. The algorithm has been tested in realistic environments with 3GPP channel models.},
  author       = {Stala, Michal and Gangarajaiah, Rakesh and Edfors, Ove and Öwall, Viktor},
  language     = {eng},
  title        = {Area and Power Reduction in DFT Based Channel Estimators for OFDM Systems},
  url          = {https://lup.lub.lu.se/search/ws/files/6194312/5385575.pdf},
  year         = {2013},
}