Cyclostationary processes are an important class of nonstationary processes. We consider nonparametric estimation of the cyclic cross spectrum. A smoothed periodogram-based estimator is studied and its asymptotic behavior characterized, extending univariate work to the multivariate case. Application to cyclic coherence measurements is discussed. The results are useful in a variety of multisensor cyclostationary signal processing scenarios such as time delay and bearing estimation.
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Sadler et al. (1998) studied this question.
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