Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels

Werner Haselmayr; Bernhard Etzlinger; Andreas Springer

doi:10.1109/ACSSC.2012.6488981

Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels

Werner Haselmayr, Bernhard Etzlinger, Andreas Springer

Department of Communications Engineering

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

Abstract

We propose a fully-parallel low-complexity hardware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle is known as stochastic computation and this is its first application to a detection algorithm. We evaluate the bit error rate (BER) performance of the stochastic detector by computer simulations of a communication system with intersymbol interference employing turbo equalization. The results show a performance loss of about 0.5dB at a BER of 10^-3 compared to the floating-point implementation of the detector.

Original language	English
Title of host publication	Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems, and Computers
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2012.6488981
Publication status	Published - Nov 2012

Fields of science

202030 Communication engineering
202038 Telecommunications

JKU Focus areas

Mechatronics and Information Processing

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10.1109/ACSSC.2012.6488981

Cite this

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title = "Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels",

abstract = "We propose a fully-parallel low-complexity hardware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle is known as stochastic computation and this is its first application to a detection algorithm. We evaluate the bit error rate (BER) performance of the stochastic detector by computer simulations of a communication system with intersymbol interference employing turbo equalization. The results show a performance loss of about 0.5dB at a BER of 10\textasciicircum{}-3 compared to the floating-point implementation of the detector.",

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year = "2012",

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doi = "10.1109/ACSSC.2012.6488981",

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Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels. / Haselmayr, Werner ; Etzlinger, Bernhard ; Springer, Andreas.
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems, and Computers. 2012. 6488981.

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

TY - GEN

T1 - Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels

AU - Haselmayr, Werner

AU - Etzlinger, Bernhard

AU - Springer, Andreas

PY - 2012/11

Y1 - 2012/11

N2 - We propose a fully-parallel low-complexity hardware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle is known as stochastic computation and this is its first application to a detection algorithm. We evaluate the bit error rate (BER) performance of the stochastic detector by computer simulations of a communication system with intersymbol interference employing turbo equalization. The results show a performance loss of about 0.5dB at a BER of 10^-3 compared to the floating-point implementation of the detector.

AB - We propose a fully-parallel low-complexity hardware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle is known as stochastic computation and this is its first application to a detection algorithm. We evaluate the bit error rate (BER) performance of the stochastic detector by computer simulations of a communication system with intersymbol interference employing turbo equalization. The results show a performance loss of about 0.5dB at a BER of 10^-3 compared to the floating-point implementation of the detector.

UR - https://ieeexplore.ieee.org/document/6488981

U2 - 10.1109/ACSSC.2012.6488981

DO - 10.1109/ACSSC.2012.6488981

M3 - Conference proceedings

BT - Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems, and Computers

ER -

Stochastic Soft-Input Soft-Output Detection for Intersymbol Interference Channels

Abstract

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