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  • Research Article
  • Open Access

Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems

EURASIP Journal on Advances in Signal Processing20092009:380560

  • Received: 3 December 2008
  • Accepted: 19 September 2009
  • Published:


We present a bit rate maximising per-tone equalisation (BM-PTEQ) cost function that is based on an exact subchannel SNR as a function of per-tone equaliser in discrete multitone (DMT) systems. We then introduce the proposed BM-PTEQ criterion whose derivation for solution is shown to inherit from the methodology of the existing bit rate maximising time-domain equalisation (BM-TEQ). By solving a nonlinear BM-PTEQ cost function, an adaptive BM-PTEQ approach based on a recursive Levenberg-Marquardt (RLM) algorithm is presented with the adaptive inverse square-root (iQR) algorithm for DMT-based systems. Simulation results confirm that the performance of the proposed adaptive iQR RLM-based BM-PTEQ converges close to the performance of the proposed BM-PTEQ. Moreover, the performance of both these proposed BM-PTEQ algorithms is improved as compared with the BM-TEQ.


  • Information Technology
  • Cost Function
  • Rate Maximise
  • Quantum Information
  • Full Article

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Authors’ Affiliations

Centre of Electronic Systems Design and Signal Processing (CESdSP), Department of Electronic Engineering, Mahanakorn University of Technology, 140 Cheumsamphan Road, Nong-chok, Bangkok, 10530, Thailand


© S. Sitjongsataporn and P. Yuvapoositanon. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.