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University College Dublin, Ireland

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VSB - Technical University of Ostrava, Czech Republic

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Brno University of Technology, Czech Republic

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Brno University of Technology, Czech Republic

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University of Zilina, Slovakia

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VSB - Technical University of Ostrava, Czech Republic

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University of Defence, Czech Republic

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University of Rome "La Sapienza", Italy

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University of Economics in Katowice, Katowice, Poland

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Honeywell International, Czech Republic

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Brno University of Technology, Czech Republic

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Sutcu Imam University, Turkey

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Slovak University of Technology, Slovakia

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VSB - Technical University of Ostrava, Czech Republic

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The University of Edinburgh, United Kingdom

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Tomas Bata University in Zlin, Czech Republic

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University of Zilina, Slovakia

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University of Defence, Czech Republic

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Technical University of Cluj Napoca, Romania

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National Research University "MPEI", Russian Federation

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Technical University of Cluj Napoca, Romania

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Warsaw University of Technology, Poland

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Isfahan University of Technology, Iran, Islamic Republic Of

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DIMES Department of University of Calabria, Italy

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Brno University of Technology, Czech Republic

Martin Vaculik
University of Zilina, Slovakia

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Academy of Sciences of the Czech Republic, Czech Republic

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VSB - Technical University of Ostrava, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

Otakar Wilfert
Brno University of Technology, Czech Republic

Jan Zidek
VSB - Technical University of Ostrava, Czech Republic


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Modelling of Convolutional Structures Focusing on Error Probability Calculation Via Matlab for Safety-Related Applications

Maria Franekova, Peter Zdansky, Emilia Bubenikova, Peter Holecko

DOI: 10.15598/aeee.v17i2.2983


Abstract

Safety-related communication system SRComS uses a safety code for achieving the integrity of messages transferred between safety-related devices. In most cases, it is a block systematic code that uses syndromic decoding technique. The authors discuss the possibilities of using the convolutional structures for safety-related applications requiring creation of safety case based on quantitative assessment in relation to the transmission integrity level. This assessment is based on code analysis focused mainly on the error probability calculation. The results published in the practical part are obtained using a model created in Matlab environment, in which the chosen convolutional structures were tested. These tests were focused on the transmission error probability analysis provided by a binary symmetric channel, and also on optimization of other parameters affecting the residual error in the decoding algorithm. The results are generalized into concept of methodology for the convolutional codes safety assessment in compliance with standards for safety-related applications.

Keywords


Binary symmetric channel; convolutional structures; error probability; Matlab; modelling; safety code; safety-related communications systems; signal graph.

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