Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems

The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical...

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Veröffentlicht in:Wireless personal communications 2015-03, Vol.81 (2), p.473-487
Hauptverfasser: Besseghier, Mokhtar, Djebbar, Ahmed Bouzidi, Dayoub, Iyad
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Djebbar, Ahmed Bouzidi
Dayoub, Iyad
description The large number of subcarriers, used in OFDM systems, increases the sensivity to frequency offset which results from a Doppler shift, due to mobile movement, as well as from a mismatch between the carrier frequencies at the transmitter and receiver. The problem of channel estimation in a practical OFDM receiver that suffers from CFO has been addressed in this paper. We first derived the modified MUSIC based blind CFO estimator. Next, we propose new joint training-based and joint semi-blind CFO and channel estimation for OFDM systems. Whereas the training-based estimator only assumes knowledge of pilot tones, the semi-blind estimator assumes knowledge of the virtual subcarriers (VSCs). For both estimators we derive a maximum likelihood (ML) algorithm for block processing and LMS algorithm for adaptive processing. It is demonstrated that the CFO estimators are able to perform well with a very small number of OFDM blocks. The performance of our estimators was investigated by simulations.
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subjects Artificial Intelligence
Communications Engineering
Computer Communication Networks
Computer Science
Electronics
Engineering
Engineering Sciences
Networking and Internet Architecture
Networks
Signal and Image processing
Signal,Image and Speech Processing
title Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems
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