By Topic

Noise-predictive partial-response equalizers and applications

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
$33 $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

3 Author(s)
P. R. Chevillat ; IBM Zurich Res. Lab., Ruschlikon, Switzerland ; E. Eleftheriou ; D. Maiwald

The authors consider enhancing the performance of the traditional linear partial-response (PR) equalizer by using noise prediction techniques. The resulting noise-predictive PR equalizer consists of a forward linear PR equalizer followed by a linear predictor to whiten the noise and the residual distortion at the equalizer output. Assuming correct decisions and applying results from prediction theory, it is shown that the minimum mean-square error of a noise-predictive PR equalizer equals that of a decision-feedback equalizer which employs no PR shaping. This result shows that the performance of a receiver with a PR shaping equalizer can always be improved by attaching a noise-whitening predictor. Simulation results are presented for channels typically encountered in wire transmission and magnetic recording, i.e., channels with a spectral null at DC and strong high-frequency attenuation. The results show a substantial performance improvement when a noise-predictive PR equalizer is used

Published in:

Communications, 1992. ICC '92, Conference record, SUPERCOMM/ICC '92, Discovering a New World of Communications., IEEE International Conference on

Date of Conference:

14-18 Jun 1992