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Channel Coding of Weighted Probabilistic Model

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posted on 22.01.2021, 11:37 by Jielin Wang

In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.

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Email Address of Submitting Author

254908447@qq.com

ORCID of Submitting Author

254908447@qq.com

Submitting Author's Institution

Hunan International Economics University

Submitting Author's Country

China

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