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Journal Articles Wireless Personal Communications Year : 2015

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

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Abstract

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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Dates and versions

hal-03383003 , version 1 (18-10-2021)

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Mokhtar Besseghier, Ahmed Bouzidi Djebbar, Iyad Dayoub. Adaptive Joint Semi-blind Estimation of CFO and Channel for OFDM Systems. Wireless Personal Communications, 2015, 81 (2), pp.473-487. ⟨10.1007/s11277-014-2139-7⟩. ⟨hal-03383003⟩
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