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Nonparametric estimation of the cyclic cross spectrum

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2 Author(s)
B. M. Sadler ; Army Res. Lab., Adelphi, MD, USA ; A. V. Dandawate

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

Published in:

IEEE Transactions on Information Theory  (Volume:44 ,  Issue: 1 )