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.

Highlights

  • Convolutional codes are a part of a large set of channel self-repair codes, which are used in many practical applications requiring immediate repair ofFor the simulation of data transmission secured by convolutional codes, the Matlab software along with Simulink and Communications System Toolbox libraries is very useful [4]

  • These tests were focused on the transmission error probability analysis provided by a binary symmetric channel, and on optimization of other parameters affecting the residual error in the decoding algorithm

  • Usc 2019 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING. Ing this model, it is possible to create a time simulation of transmission with the option to analyse the system, which is used for data transmission through a communication channel and optimization of the convolutional codes parameters such as Decoding Window (DW ) or Safety Interval (SI) affecting the error probability of one bit during the transmission

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Summary

Introduction

Convolutional codes are a part of a large set of channel self-repair codes, which are used in many practical applications requiring immediate (real-time) repair of. For the simulation of data transmission secured by convolutional codes, the Matlab software along with Simulink and Communications System Toolbox libraries is very useful [4] This environment allows to create a communication system model from individual function blocks and to adjust their parameters according to the needs of the specific problem. Ing this model, it is possible to create a time simulation of transmission with the option to analyse the system, which is used for data transmission through a communication channel and optimization of the convolutional codes parameters such as Decoding Window (DW ) or Safety Interval (SI) affecting the error probability of one bit during the transmission. If the SRComS is used for transmission of Safety-Related and NonRelated Messages (SRM and SNRM), these messages have to differ by their structure

Safety Code Requirements for Safety-Related Applications
MLD Decoding-Based Convolutional Code Design
Model Implementation
Results
Cproob wor
Conclusion
Full Text
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