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International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06)
SNR Estimation for Low Bit Rate OFDM Systems in AWGN Channel
Morne, Mauritius
April 23-April 29
ISBN: 0-7695-2552-0
ASCII Text
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Doukas Athanasios, Grigorios Kalivas, "SNR Estimation for Low Bit Rate OFDM Systems in AWGN Channel," Mobile Communications and Learning Technologies, Conference on Networking, Conference on Systems, International Conference on, pp. 198, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICNICONSMCL.2006.198,
author = {Doukas Athanasios and Grigorios Kalivas},
title = {SNR Estimation for Low Bit Rate OFDM Systems in AWGN Channel},
journal ={Mobile Communications and Learning Technologies, Conference on Networking, Conference on Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2552-0},
pages = {198},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICNICONSMCL.2006.198},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Mobile Communications and Learning Technologies, Conference on Networking, Conference on Systems, International Conference on
TI - SNR Estimation for Low Bit Rate OFDM Systems in AWGN Channel
SN - 0-7695-2552-0
SP
EP
A1 - Doukas Athanasios,
A1 - Grigorios Kalivas,
PY - 2006
KW - null
VL - 0
JA - Mobile Communications and Learning Technologies, Conference on Networking, Conference on Systems, International Conference on
ER -
 
Doukas Athanasios, University of Patras, Greece
Grigorios Kalivas, University of Patras, Greece
Orthogonal Frequency Division Multiplexing (OFDM) is a promising approach to achieve higher data rates with sufficient performance. However a measure of channel state is desired in order to decide upon transition to these rates. Signal-to-Noise Ratio (S1NR) is such a measure and an estimator operating in low transmission rates, such as BPSK or using the preamble data would be proper. In this work two online SNR estimators are developed for OFDM systems, operating on BPSK modulation or on the preamble data. It is shown that the convergence of the algorithms to the actual SNR value is achieved from about 0 dBs or even lower. The impact of the channel estimation used on the SNR estimation accuracy is given and improvements, regarding the computational cost, on one of them are given. Finally a transmission procedure for an OFDM modem using these SNR estimators is given.
Citation:
Doukas Athanasios, Grigorios Kalivas, "SNR Estimation for Low Bit Rate OFDM Systems in AWGN Channel," icniconsmcl, pp.198, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006
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