Reduced Complexity Super-Trellis Decoding for Convolutionally Encoded Transmission Over ISI-Channels
arXiv:1207.4680
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.
6 pages, 8 figures, accepted for ICNC'13. (see also: arXiv:1205.7031)