Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
Equalization for discrete multitone transceivers to maximize bitrate
IEEE Transactions on Signal Processing
MAP decoding of convolutional codes using reciprocal dual codes
IEEE Transactions on Information Theory
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We study the equalization procedure in discrete multitone (DMT)-based systems, in particular, in DMT-based ADSL systems. Traditionally, equalization is performed in the time domain by means of a channel shortening filter. Shifting the equalization operations to the frequency domain, as is done in per-tone equalization, increases the achieved bitrate by 5-10%. We show that the application of the turbo principle to per-tone equalization can provide significant additional gains. In the proposed receiver structure, referred to as a "turbo-per-tone equalization" structure, equalization and decoding are performed in an iterative fashion. Equalization is done by means of a linear minimum mean squared error (MMSE) equalizer, using a priori information. We give a description of an efficient implementation of such an equalizer in the per-tone structure. Simulations show that we obtain a bitrate increase of 12-16% compared to the original per-tone equalization-based receiver structure.