Residual error probability of embedded CRC by stochastic automata

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Abstract

Cyclic Redundancy Check (CRC) is an approved coding technique to detect errors in industrial communication. Using a checksum calculated with the help of a generator polynomial, CRC guarantees a low probability of undetected errors (residual error probability, P re ). The choice of an appropriate polynomial has significant impact on the quality of error detection. Since CRC itself is very efficient, it is obvious to embed safety-critical data protected by an additional CRC into the net data protected by the original CRC in order to increase the error detection of the safety-critical data. The paper introduces a method to determine the corresponding P re by means of stochastic automata. Using the example of the fieldbus PROFIBUS-PA as embedding communication protocol, polynomials for the additional CRC were analyzed. As result, the impact of generator polynomials in the additional CRC on the P re as well as the improvement of the error detection capabilities is shown. © 2010 Springer-Verlag Berlin Heidelberg.

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APA

Schiller, F., & Mattes, T. (2010). Residual error probability of embedded CRC by stochastic automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6351 LNCS, pp. 155–168). https://doi.org/10.1007/978-3-642-15651-9_12

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