Extrinsic LLR Computation by the SISO LMMSE Detector: Four Different Approaches

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Abstract

In this paper we present four different approaches for the computation of the extrinsic information by a soft-input soft-output LMMSE detector used in a turbo equalization system. Moreover, we show the equivalence of the four approaches. All methods apply a Gaussian approximation, but at different stages, e.g. Gaussian approximation on the LMMSE filter output. Each approach offers different strategies for reducing the computational complexity, where the factor graph approach is the most promising solution.
Original languageEnglish
Title of host publicationProc. Int. Conf. Comput. Aided Syst. Theory 2015 (EUROCAST 2015)
EditorsFranz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia
Pages529-536
Number of pages8
DOIs
Publication statusPublished - Feb 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9520
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 202038 Telecommunications
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202030 Communication engineering
  • 202037 Signal processing

JKU Focus areas

  • Mechatronics and Information Processing

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