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arXiv · 1207.4680

Reduced Complexity Super-Trellis Decoding for Convolutionally Encoded Transmission Over ISI-Channels

Fabian Schuh·Andreas Schenk·Johannes B. Huber
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Abstract

In this paper we propose a matched encoding (ME) scheme for convolutionally encoded transmission over intersymbol interference (usually called ISI) channels. A novel trellis description enables to perform equalization and decoding jointly, i.e., enables efficient super-trellis decoding. By means of this matched non-linear trellis description we can significantly reduce the number of states needed for the receiver-side Viterbi algorithm to perform maximum-likelihood sequence estimation. Further complexity reduction is achieved using the concept of reduced-state sequence estimation.

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Fabian Schuh, Andreas Schenk, Johannes B. Huber. 2012-07-19. Reduced Complexity Super-Trellis Decoding for Convolutionally Encoded Transmission Over ISI-Channels. https://arxiv.org/abs/1207.4680

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