TY - GEN
T1 - Low-complexity Kalman filter-based carrier frequency offset estimation and tracking for OFDM systems
AU - Ashour, Mahmoud
AU - El-Keyi, Amr
AU - Sultan, Ahmed
N1 - Generated from Scopus record by KAUST IRTS on 2023-09-22
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper, an iterative blind estimator for fractional carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is proposed. The estimator utilizes the null subcarriers transmitted at the edge of the spectrum and does not require any training. In addition, the proposed estimator does not require any prior knowledge of the frequency response of the channel. The problem is formulated using a state-space model, and an extended Kalman filter (EKF) is employed to estimate the CFO iteratively. Simulation results illustrate the enhanced ability of the proposed algorithm, relative to the existing approaches, to estimate and track the CFO even in the presence of high Doppler. © 2013 IEEE.
AB - In this paper, an iterative blind estimator for fractional carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is proposed. The estimator utilizes the null subcarriers transmitted at the edge of the spectrum and does not require any training. In addition, the proposed estimator does not require any prior knowledge of the frequency response of the channel. The problem is formulated using a state-space model, and an extended Kalman filter (EKF) is employed to estimate the CFO iteratively. Simulation results illustrate the enhanced ability of the proposed algorithm, relative to the existing approaches, to estimate and track the CFO even in the presence of high Doppler. © 2013 IEEE.
UR - http://ieeexplore.ieee.org/document/6638597/
UR - http://www.scopus.com/inward/record.url?scp=84890485347&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638597
DO - 10.1109/ICASSP.2013.6638597
M3 - Conference contribution
SN - 9781479903566
SP - 4923
EP - 4927
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -