Universal linear precoding for NBI-proof widely linear equalization in MC systems
EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
Data-aided symbol timing and CFO synchronization for filter bank multicarrier systems
IEEE Transactions on Wireless Communications
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
Packet format design and decision directed tracking methods for filter bank multicarrier systems
EURASIP Journal on Advances in Signal Processing - Special issue on filter banks for next-generation multicarrier wireless communications
Spatial diversity scheme to efficiently cancel ISI and ICI in OFDM-OQAM systems
Journal of Computer Systems, Networks, and Communications - Special issue on lightweight mobile and wireless systems: technologies, architectures, and services
Adaptive bit and subcarrier allocation algorithm for multiuser OFDM/OQAM systems
International Journal of Mobile Network Design and Innovation
Data-aided synchronization for OFDM/OQAM systems
Signal Processing
Hi-index | 35.68 |
This paper deals with the problem of blind carrier-frequency offset (CFO) estimation in orthogonal frequency-division multiplexing (OFDM) systems based on offset quadrature amplitude modulation (OFDM/OQAM). Specifically, by assuming that the number of subcarriers is sufficiently large, the received signal is modeled as a complex Gaussian random vector (CGRV). Since the OFDM/OQAM signal results to be a noncircular (NC) process (i.e., its relation function is different from zero), by exploiting the generalized probability density function for NC-CGRVs, the unconditional maximum-likelihood algorithm for CFO estimation in nondispersive channel is derived. Moreover, due to its computational complexity, a more feasible estimator is considered. The performance of the proposed estimators, assessed via computer simulation, is compared with that of recently proposed CFO estimators exploiting second-order cyclostationarity and with the Gaussian Crameacuter-Rao bound