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

Werner Haselmayr; Andreas Springer

doi:10.1007/978-3-319-27340-2_66

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

Werner Haselmayr, Andreas Springer

Department of Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 language	English
Title of host publication	Proc. Int. Conf. Comput. Aided Syst. Theory 2015 (EUROCAST 2015)
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-27340-2_66
Publication status	Published - Feb 2015

Fields of science

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

JKU Focus areas

Mechatronics and Information Processing

Access to Document

10.1007/978-3-319-27340-2_66

Cite this

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title = "Extrinsic LLR Computation by the SISO LMMSE Detector: Four Different Approaches",

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.",

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AB - 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.

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