Convergence and errors in turbo-decoding
| Autor: | A.C. Reid, Desmond P. Taylor, T.A. Gulliver |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Theoretical computer science
Series (mathematics) Error floor Computer science Concatenated error correction code Automatic repeat request Serial concatenated convolutional codes Data_CODINGANDINFORMATIONTHEORY Selective Repeat ARQ Soft-decision decoder Turbo equalizer Convolutional code Computer Science::Multimedia Convergence (routing) Turbo decoding Turbo code Electrical and Electronic Engineering Algorithm Decoding methods Computer Science::Information Theory |
| Zdroj: | IEEE Transactions on Communications. 49:2045-2051 |
| ISSN: | 0090-6778 |
| DOI: | 10.1109/26.974246 |
| Popis: | Turbo-codes are decoded using iterative decoding algorithms with somewhat elusive convergence properties. In this paper, the modes of convergence observed in an extensive series of turbo-code simulations are categorized by examining the bit convergence behavior for each frame. Based on these results, a new method for decoder termination based on average log-likelihood ratios is presented and compared with other methods. As an application, a selective repeat automatic repeat request (ARQ) system is considered. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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