Data-aided symbol timing and CFO synchronization for filter bank multicarrier systems

In this paper we consider the problem of data-aided joint symbol timing and carrier-frequency offset (CFO) estimation for filter bank-based multicarrier (FBMC) systems. As all multicarrier systems, FBMC systems are very sensitive to synchronization errors, since CFO and symbol timing errors cause in...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2009-05, Vol.8 (5), p.2705-2715
Main Authors: Fusco, T., Petrella, A., Tanda, M.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
carrier-frequency offset
Data-aided estimation
Degradation
Detection, estimation, filtering, equalization, prediction
Error detection
Exact sciences and technology
Filter bank
filter bank multicarrier systems
Frequency synchronization
Information, signal and communications theory
Interference
Least squares method
Least squares methods
OFDM
Pulse shaping methods
Signal and communications theory
Signal processing algorithms
Signal, noise
symbol timing
Symbols
Synchronism
Synchronization
Telecommunications and information theory
Time measurements
Timing
Training
Wireless sensor networks
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Summary:In this paper we consider the problem of data-aided joint symbol timing and carrier-frequency offset (CFO) estimation for filter bank-based multicarrier (FBMC) systems. As all multicarrier systems, FBMC systems are very sensitive to synchronization errors, since CFO and symbol timing errors cause interference between successive symbols and adjacent subcarriers which can lead to a severe performance degradation. Therefore, reliable and accurate synchronization algorithms must be designed for these systems. The approach herein presented is based on the deployment of appropriate training sequences. In particular, we propose a new joint symbol timing and CFO synchronization algorithm based on the least squares approach and exploiting the transmission of a training sequence made up of identical parts. The performance of the derived estimators, assessed by computer simulations, is compared with that of two data-aided synchronization algorithms previously proposed in the literature.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.080860