Title :
Nonparametric estimation of the cyclic cross spectrum
Author :
Sadler, Brian M. ; Dandawate, Amod V.
Author_Institution :
Army Res. Lab., Adelphi, MD, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
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
Keywords :
array signal processing; coherence; delays; direction-of-arrival estimation; nonparametric statistics; spectral analysis; statistical analysis; time series; asymptotic behavior; bearing estimation; cyclic coherence measurements; cyclic cross spectrum; cyclostationary processes; multi-time series; multisensor cyclostationary signal processing; multivariate spectrum estimation; nonparametric estimation; nonstationary processes; signal analysis; smoothed periodogram-based estimator; time delay estimation; Delay effects; Direction of arrival estimation; Fourier transforms; Laboratories; Notice of Violation; Signal processing; Signal processing algorithms; Spectral analysis; Statistics;
Journal_Title :
Information Theory, IEEE Transactions on
