Title :
Minimum variance unbiased estimation of frequency offset in OFDM systems, a blind synchronization approach
Author :
Lashkarian, Navid ; Kiaei, Sayfe
Author_Institution :
Lucent Technol. Bell Labs., USA
Abstract :
We present a novel blind synchronization method for carrier frequency offset estimation of orthogonal frequency division modulation (OFDM) systems. The proposed approach exploits the properties of cyclic prefix subset to reveal the synchronization parameters in the likelihood function of the received vector. Using Neyman-Fisher factorization theorem, the sufficient statistic for estimation of carrier frequency offset is identified. The resulting statistic, when applied to the Rao-Blackwell-Lehmann-Scheffe (RBLS) theorem, results in a robust minimum variance unbiased (MVU) estimate of the synchronization parameter. Statistical and closed loop performance of the estimator is analyzed and assessed by simulation for an OFDM system
Keywords :
OFDM modulation; frequency estimation; statistical analysis; synchronisation; time-varying channels; Neyman-Fisher factorization theorem; OFDM systems; Rao-Blackwell-Lehmann-Scheffe theorem; blind synchronization method; carrier frequency offset estimation; closed loop performance; cyclic prefix subset; likelihood function; minimum variance unbiased estimation; orthogonal frequency division modulation; received vector; robust minimum variance unbiased estimate; simulation; statistical performance; sufficient statistic; synchronization parameters; time varying dynamic channels; Additive white noise; Frequency estimation; Frequency modulation; Frequency synchronization; Intersymbol interference; Maximum likelihood estimation; OFDM modulation; Robustness; Statistics; Timing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861151
