EURASIP Journal on Applied Signal Processing, Special Issue on Advanced Signal Processing Techniques for Digital Subscriber Lines, vol. 2006, special issue no. 7, 12 pages, Article Id 43154, 2006.

Iterative Refinement Methods for Time-Domain Equalizer Design

Guner Arslan (1), Biao Lu (2), Lloyd D. Clark (3), and Brian L. Evans (4)

(1) Silicon Laboratories, 7000 W. William Cannon Dr., Austin, TX, 78735.
guner_arslan@hotmail.com

(2) Schlumberger Sugar Land Product Center, 110 Schlumberger Dr., Sugar Land, TX 77478.
iambiao@yahoo.com

(3) TICOM Geomatics, 9130 Jollyville Road, Austin, TX 78759.
ag4d@yahoo.com

(4) Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA
bevans@ece.utexas.edu

Paper

DMT TEQ Matlab Toolbox - ADSL Research at UT Austin

Abstract

Commonly used time domain equalizer (TEQ) design methods have been recently unified as an optimization problem involving an objective function in the form of a Rayleigh quotient. The direct generalized eigenvalue solution relies on matrix decompositions. To reduce implementation complexity, we propose an iterative refinement approach in which the TEQ length starts at two taps and increases by one tap at each iteration. Each iteration involves matrix-vector multiplications and vector additions with 2 x 2 matrices and two-element vectors. At each iteration, the optimization of the objective function either improves or the approach terminates. The iterative refinement approach provides a range of communication performance versus implementation complexity tradeoffs for any TEQ method that fits the Rayleigh quotient framework. We apply the proposed approach to three such TEQ design methods: maximum shortening signal-to-noise ratio, minimum intersymbol interference, and minimum delay spread.

Last Updated 07/31/12.