Channel equalization in filter bank based multicarrier modulation for wireless communications
EURASIP Journal on Applied Signal Processing
Blind Frequency-Offset Estimation for OFDM/OQAM Systems
IEEE Transactions on Signal Processing
Blind CFO Estimation for Noncritically Sampled FMT Systems
IEEE Transactions on Signal Processing
A robust timing and frequency synchronization for OFDM systems
IEEE Transactions on Wireless Communications
Filter bank modulation techniques for very high speed digital subscriber lines
IEEE Communications Magazine
Blind symbol timing estimation for OFDM/OQAM systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Joint symbol timing and CFO estimation for OFDM/OQAM systems in multipath channels
EURASIP Journal on Advances in Signal Processing - Special issue on filter banks for next-generation multicarrier wireless communications
Pilot-Based synchronization and equalization in filter bank multicarrier communications
EURASIP Journal on Advances in Signal Processing - Special issue on filter banks for next-generation multicarrier wireless communications
Data-aided synchronization for OFDM/OQAM systems
Signal Processing
Wireless Personal Communications: An International Journal
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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.