By Topic

The effect of bias on the linear canceller

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

2 Author(s)

The linear canceller has been shown to be effective in mitigating intersymbol interference in the presence of slope distortion. However, even moderate amounts of bias can affect the stability and performance of the canceller. We infer the eigenvalues associated with the autocorrelation matrix of the jointly adaptive infinitely long linear canceller structure with the aid of a theorem on asymptotic convergence. As in the case of the fractionally spaced equalizer, these eigenvalues are spread over a wide range; hence, the linear canceller taps can grow large when a bias exists in the updating error signal. This occurs even though the canceller is only symbol-space d, in contrast to the phenomenon in an equalizer. One solution is to apply the tap-leakage algorithm to both jointly adapting filters constituting the canceller.

Published in:

Information Theory, IEEE Transactions on  (Volume:30 ,  Issue: 2 )