A pilot-based fast algorithm for joint estimation of frequency offset and channel in OFDM
Signal Processing - Fractional calculus applications in signals and systems
ODMCA: An adaptive data mining control algorithm in multicarrier networks
Computer Communications
Wireless Personal Communications: An International Journal
Blind CFO estimation for linearly precoded OFDMA uplink
IEEE Transactions on Signal Processing
Novel blind carrier frequency offset estimation for OFDM system with multiple antennas
IEEE Transactions on Wireless Communications
Robust pilot design for consistent carrier frequency offset estimation
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Hi-index | 35.69 |
Orthogonal frequency division multiplexing (OFDM) transforms frequency-selective channels into multiple low-rate flat-fading subchannels. Carrier frequency offset between transmitter and receiver local oscillators must be estimated and compensated at the receiver to maintain orthogonality of these subchannels. In this paper, we derive the nonlinear least squares (NLS) estimator for carrier frequency synchronization that exploits receiver diversity and known OFDM signal subspace structure due to the placement of unmodulated (virtual) subcarriers. The resulting estimator benefits from the high-resolution subspace method without the computational overhead associated with subspace decomposition. Fundamental estimator performance relationships against parameters such as signal-to-noise ratio (SNR), frequency-selective fading, and diversity branch correlation are derived. In particular, we derive the Cramer-Rao bound (CRB) for the mean square error (MSE) of the carrier frequency offset estimator. Numerical studies are presented to verify the results.