IEEE Transactions on Signal Processing
Blind source-separation using second-order cyclostationarystatistics
IEEE Transactions on Signal Processing
Statistical tests for presence of cyclostationarity
IEEE Transactions on Signal Processing
Nonparametric polyspectral estimators for kth-order (almost) cyclostationary processes
IEEE Transactions on Information Theory
Asymptotic theory of mixed time averages and kth-order cyclic-moment and cumulant statistics
IEEE Transactions on Information Theory
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The blind estimation of the symbol rate is one of the main issues for blind characterization of linearly modulated sequences. The estimator proposed in this article is based on the autocorrelation function of this kind of signal and exploits its limited frequency support. We prove theoretically that taking into account this property to modify some classical algorithms allows improving significantly their performances. We illustrate this result by numerical simulations, and we show that our estimator correctly detect the symbol rate in nearly 100% of the cases in many contexts as long as the signal to noise ratio is higher than 5dB.