By Topic

Adaptive equalization of CPM signals in a fast flat-fading environment

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)
Boudreau, D. ; Communications Research Centre, Ottawa, Ont., Canada ; Lodge, J.H.

A new algorithm for adapting the coefficients of an equalizer in a fast flat-fading environment is presented. The cost function to optimize is based on the maximum likelihood sequence estimation (MLSE) index for continuous phase modulated (CPM) data signals. The use of this so-called ML equalizer allows a decrease in the irreducible error rate of the non-equalized receiver, on severe mobile transmission channels. This is important in a personal communications system where the use of inexpensive receive filters is desirable for cost-saving reasons, but also cause a detrimental error rate increase. In the present paper, a corresponding iterative algorithm, fully implementable on a digital signal processor, is presented. This algorithm involves the combination of iterative estimation procedures for QR decomposition, matrix eigenvalue tracking and channel prediction error. The details are presented and simulated performances are discussed

Published in:

Universal Personal Communications, 1993. Personal Communications: Gateway to the 21st Century. Conference Record., 2nd International Conference on  (Volume:2 )

Date of Conference:

12-15 Oct 1993