IEEE Transactions on Signal Processing, vol. 53, no. 10, pp. 3880-3894, Oct. 2005.

Unification and Evaluation of Equalization Structures and Design Algorithms for Discrete Multitone Systems

Rick K. Martin (1), Koen Vanbleu (2), Ming Ding (3), Geert Ysebaert (4), Milos Milosevic (5), Brian L. Evans (6), Marc Moonen (7), and C. Rick Johnson, Jr. (8)

(1) Dept. of Electrical and Computer Engineering, Air Force Institute of Technology, Wright Patterson Air Force Base, Ohio USA.

(2) Broadcom, Mechelen, Belgium.

(3) Bandspeed, Inc., Austin, TX USA.

(4) Research and Innovation, Alcatel Telecom, Antwerp, Belgium.

(5) Schlumberger, Sugar Land, TX USA.

(6) Dept. of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA.

(7) Katholieke Universiteit Leuven-- ESAT-SCD/SISTA, Leuven-Heverlee, Belgium.

(8) Dept. of Electrical and Computer Engineering, Rhodes Hall, Cornell University, Ithaca, NY 14853 USA.


ADSL Research at Cornell - ADSL Research at UT Austin


To ease equalization in a multicarrier system, a cyclic prefix (CP) is typically inserted between successive symbols. When the channel order exceeds the CP length, equalization can be accomplished via a time-domain equalizer (TEQ), which is a finite impulse response (FIR) filter. The TEQ is placed in cascade with the channel to produce an effective shortened impulse response. Alternatively, a bank of equalizers can remove the interference tone-by-tone. This paper presents a unified treatment of equalizer designs for multicarrier receivers, with an emphasis on discrete multitone systems. It is shown that almost all equalizer designs share a common mathematical framework based on the maximization of a product of generalized Rayleigh quotients. This framework is used to give an overview of existing designs (including an extensive literature survey), to apply a unified notation, and to present various common strategies to obtain a solution. Moreover, the unification emphasizes the differences between the methods, enabling a comparison of their advantages and disadvantages. In addition, 16 different equalizer structures and design procedures are compared in terms of computational complexity and achievable bit rate using synthetic and measured data.

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Last Updated 09/18/07.