Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Identification of systems with cyclostationary input and correlated input/output measurement noise

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Gardner, W.A. ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA

An alternative approach to Wiener's optimum filtering theory for stationary random time series that is applicable when the system input exhibits cyclostationarity is presented. This alternative approach can, in principle, eliminate performance degradation due to input/output corruption. This method of system identification is called the SPECCORR (spectral correlation ratio) method, since the cross spectra in the ratio are actually spectral correlation functions. An application to interference-tolerant time-difference-of-arrival estimation is described and illustrated by simulation results, showing its effectiveness for system identification with severely corrupted input/output measurements. A comparison of Wiener's method to the SPECCORR method shows the superior performance of the latter

Published in:

Automatic Control, IEEE Transactions on  (Volume:35 ,  Issue: 4 )