By Topic

Blind equalization and estimation of digital communication FIR channels using cumulant matching

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)
Tugnait, J.K. ; Dept. of Electr. Eng., Auburn Univ., AL, USA

We consider the problem of blind estimation and equalization of digital communication FIR (finite impulse response) channels. The channel parameters are estimated by nonlinear batch optimization of a quadratic cumulant matching criterion involving second and fourth order cumulants of the received data. A new algorithm is proposed for (asymptotically) globally convergent, linear estimation of the FIR channel parameters where the FIR model order is not necessarily known. The nonlinear cumulant matching algorithm is initialized by the linear parameter estimator. The estimated channel impulse response is then used to construct a linear equalizer. Two illustrative simulation examples using 4, 16 and 64-QAM signals are presented.<>

Published in:

Communications, IEEE Transactions on  (Volume:43 ,  Issue: 2/3/4 )