Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, vol. 5, pp. 2965-2968, June, 2000

Optimum Channel Shortening for Discrete Multitone Transceivers

Guner Arslan (1), Brian L. Evans (1), and Sayfe Kiaei (2)

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

(2) Wireless Integration Technology Center, Motorola Inc., Austin, TX, 78730 USA

Paper - Poster - DMT TEQ Matlab Toolbox


We proposed an optimum channel shortening method for discrete multitone (DMT) transceivers. The proposed method shortens a given channel to a desired length while maximizing the number of bits transmitted on a DMT symbol. The key to the optimum solution is the definition of the SNR in a subchannel using the equivalent signal, noise, and ISI paths in the system. Our simulation results show that the proposed method outperforms the best existing method with a 18% increase in the bit rate. We show that the maximum shortening SNR method is a special case of the proposed method and both methods are nearly equivalent when the input energy distribution is constant over all subchannels.

Last Updated 06/26/01.