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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.13606 |
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| _version_ | 1866917900708741120 |
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| author | Ortin, Jorge Garcia, Paloma Gutierrez, Fernando Valdovinos, Antonio |
| author_facet | Ortin, Jorge Garcia, Paloma Gutierrez, Fernando Valdovinos, Antonio |
| contents | In this work we propose a novel decoding algorithm for tailbiting convolutional codes and evaluate its performance over different channels. The proposed method consists on a fixed two-step Viterbi decoding of the received data. In the first step, an estimation of the most likely state is performed based on a SOVA decoding. The second step consists of a conventional Viterbi decoding that employs the state estimated in the previous step as the initial and final states of the trellis. Simulations results show a performance close to that of maximum-likelihood decoding. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_13606 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Two Step SOVA-Based Decoding Algorithm for Tailbiting Codes Ortin, Jorge Garcia, Paloma Gutierrez, Fernando Valdovinos, Antonio Information Theory Networking and Internet Architecture In this work we propose a novel decoding algorithm for tailbiting convolutional codes and evaluate its performance over different channels. The proposed method consists on a fixed two-step Viterbi decoding of the received data. In the first step, an estimation of the most likely state is performed based on a SOVA decoding. The second step consists of a conventional Viterbi decoding that employs the state estimated in the previous step as the initial and final states of the trellis. Simulations results show a performance close to that of maximum-likelihood decoding. |
| title | Two Step SOVA-Based Decoding Algorithm for Tailbiting Codes |
| topic | Information Theory Networking and Internet Architecture |
| url | https://arxiv.org/abs/2501.13606 |