1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) 1999
DOI: 10.1109/icassp.1999.761313
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Blind estimation of symbol timing and carrier frequency offset in pulse shaping OFDM systems

Abstract: We introduce a blind algorithm for the joint estimation of s mbol timing and carrier frequency offset in pulse shaping 6FDM systems. The proposed estimator exploits the cyclostationarity of the received OFDM signal and can be seen as an extension of the Gini-Giannakis estimator (11 for single-carrier systems. An important feature of our method is the capability to perform a carrier frequency acquisition over the entire bandwidth of the OFDM signal. Furthermore, our estimator can be applied even if no cyclic pr… Show more

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Cited by 21 publications
(11 citation statements)
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“…A natural extension of the estimator [14], which has been designed in the context of a standard OFDM system, to an OFDM/OQAM type system is proposed in [17]. One can observe that the performance and the properties of these two estimators are close.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…A natural extension of the estimator [14], which has been designed in the context of a standard OFDM system, to an OFDM/OQAM type system is proposed in [17]. One can observe that the performance and the properties of these two estimators are close.…”
Section: Introductionmentioning
confidence: 95%
“…However, simulation experiments show that the ML-based estimator is not quite robust to ISI-channel effects. In [14], a new blind frequency estimator is proposed by exploiting the second-order cyclostationary statistics of the oversampled received signal. This estimator represents an extension of the approach proposed in [15] to the OFDM framework and is specifically designed only for flat-fading channels [14].…”
Section: Introductionmentioning
confidence: 99%
“…However, the algorithm relies on virtual subcarriers, which also lowers the bandwidth efficiency. For more realistic synchronization, some methods have been proposed for blind estimation of timing offset as well as frequency offset [9,10,11,12]. These algorithms mainly utilize the cyclic prefix, and some methods [11] require the OFDM signal to be cyclostationary.…”
Section: Introduction Rthognal Frequency Division Multiplexing(ofdm)mentioning
confidence: 99%
“…For more realistic synchronization, some methods have been proposed for blind estimation of timing offset as well as frequency offset [9,10,11,12]. These algorithms mainly utilize the cyclic prefix, and some methods [11] require the OFDM signal to be cyclostationary. In addition, statistical separation approaches have also been explored to do a blind source separation [13,14,15].…”
Section: Introduction Rthognal Frequency Division Multiplexing(ofdm)mentioning
confidence: 99%
“…The literature focused on blind estimation methods initially. In [2], a blind joint CFO and STO estimation has been presented based on the cyclostationarity of the FBMC/OQAM signal. In [3], the CFO estimation is further improved by using the conjugate second-order cyclostationarity statistics.…”
Section: Introductionmentioning
confidence: 99%