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

Abstract

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.

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Correspondence to Suchada Sitjongsataporn.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Sitjongsataporn, S., Yuvapoositanon, P. Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems. EURASIP J. Adv. Signal Process. 2009, 380560 (2009). https://doi.org/10.1155/2009/380560

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  • DOI: https://doi.org/10.1155/2009/380560

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