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ID 34735
file
creator
Emmanuel, Manasseh
subject
OFDM
ML estimation
MIMO
CFO
CRB
NDC
Electrical engineering
abstract
In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.
journal title
Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences
volume
Volume E94-A
issue
Issue 11
start page
2271
end page
2278
date of issued
2011
publisher
Ieice-Inst Electronics Information Communications Engineers
issn
0916-8508
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
publisher
rights
(c) 2011 The Institute of Electronics, Information and Communication Engineers
relation url
department
Graduate School of Engineering