Fast Classification of Error Correcting Codes based on Syndrome a Posteriori Probability Spectrum for Intelligent Communication

Abstract Classification of channel codes has drawn widespread concern for a long time. In this letter, we propose a posteriori probability based approach to classify cyclic redundancy check codes and convolutional codes. We defined the posteriori probability spectrum to clarify the parity-check rela...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2829; no. 1; pp. 12014 - 12020
Main Authors Zhang, Yimeng, Zuo, Zhen, Li, Sida, Jin, Wenhao
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.09.2024
Subjects
Classification
Error correcting codes
Error correction
Gaussian elimination
Parity
Redundancy
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Summary:Abstract Classification of channel codes has drawn widespread concern for a long time. In this letter, we propose a posteriori probability based approach to classify cyclic redundancy check codes and convolutional codes. We defined the posteriori probability spectrum to clarify the parity-check relationship between the intercepted codewords and the candidate parity-check vector generated by traversing. We theoretically explained that the posteriori probability spectrum of cyclic redundancy check codes and convolutional codes show clear distinctions. We further specify the feature parameter generated from the posteriori probability spectrum to do classification. Simulation results show that the posteriori probability spectrum for cyclic redundancy check codes and convolutional codes are significantly different. The proposed approach outperforms traditional Gauss-Jordan elimination through pivoting approach in classification accuracy.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2829/1/012014