CRC Error Probability under Batch Random Noise


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Abstract

We consider error probabilities in protocols using CRC to detect distortions in transmitted batches. A probability-theory model of an additive long-term noise is constructed as a sequence of independent noise blocks of a prescribed length. We show that there are conditions to be imposed on the form of the k-order polynomial forming the CRC and on block size s such that the error probability \(\alpha \) is close to \({{2}^{{ - k}}}\) and does not depend on s provided that distortion probability \({{P}_{1}}\) is high.

About the authors

A. P. Baranov

Higher School of Economics (National Research University)

Author for correspondence.
Email: baranov.ap@yandex.ru
Russian Federation, Moscow, 101000

P. A. Baranov

Higher School of Economics (National Research University)

Email: baranov.ap@yandex.ru
Russian Federation, Moscow, 101000


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