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.
Authors
- Baoming Bai (ORCID: https://orcid.org/0000-0002-6161-5493)
- Min Zhu (ORCID: https://orcid.org/0000-0003-2638-1764)
- Qi Chen (ORCID: https://orcid.org/0000-0002-5977-1585)
- Guan Mengsheng
- Gao Wanting
Institutions
- Xidian University (CN)
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