Blind Recognition of Non-Binary LDPC Codes Based on Ant Colony Optimization

This paper introduces a novel blind recognition of non-binary low-density parity-check (LDPC) codes without a candidate set, using ant colony optimization (ACO) algorithm over additive white Gaussian noise (AWGN) channels. Specifically, the scheme that effectively combines the ACO algorithm and the non-binary elements over finite fields is proposed. Furthermore, an improved, simplified elitist ACO algorithm based on soft decision reliability is introduced to recognize the parity-check matrix over noisy channels. Simulation results show that the recognition rate continuously increases with an increased signal-to-noise ratio (SNR) over the AWGN channel.

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Publication Details

Journal
China Communications
Published
2024-10-01
DOI
https://doi.org/10.23919/jcc.fa.2024-0286.202410
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.35
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Blind Recognition of Non-Binary LDPC Codes Based on Ant Colony Optimization

Baoming Bai, Min Zhu, Qi Chen, Guan Mengsheng et al.
1 citations
China Communications
Error Correcting Code Techniques
0.35
article

Blind Recognition of Non-Binary LDPC Codes Based on Ant Colony Optimization

Baoming Bai, Min Zhu, Qi Chen, Guan Mengsheng, Gao Wanting
article en
1 citations

Abstract

This paper introduces a novel blind recognition of non-binary low-density parity-check (LDPC) codes without a candidate set, using ant colony optimization (ACO) algorithm over additive white Gaussian noise (AWGN) channels. Specifically, the scheme that effectively combines the ACO algorithm and the non-binary elements over finite fields is proposed. Furthermore, an improved, simplified elitist ACO algorithm based on soft decision reliability is introduced to recognize the parity-check matrix over noisy channels. Simulation results show that the recognition rate continuously increases with an increased signal-to-noise ratio (SNR) over the AWGN channel.

China CommunicationsVol. 21(10)
Xidian University (CN)
Openalex Percentile: Top 37%
Error Correcting Code Techniques
0.35
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