CRC Error Probability under Batch Random Noise
- Authors: Baranov A.P.1, Baranov P.A.1
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Affiliations:
- Higher School of Economics (National Research University)
- Issue: Vol 52, No 8 (2018)
- Pages: 1049-1058
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175715
- DOI: https://doi.org/10.3103/S0146411618080047
- ID: 175715
Cite item
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