Data width requirements in SISO decoding with module normalization
| Autor: | Brian D. Woerner, Yufei Wu, T.K. Blankenship |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Normalization (statistics)
Computer science Error floor Concatenated error correction code Sequential decoding Serial concatenated convolutional codes Soft-decision decoder Turbo equalizer Convolutional code Turbo code Electronic engineering Electrical and Electronic Engineering Algorithm Decoding methods |
| Zdroj: | IEEE Transactions on Communications. 49:1861-1868 |
| ISSN: | 0090-6778 |
| Popis: | This letter studies the numerical properties of log-MAP-based soft-input soft-output decoding. The ranges of the differences between the path metrics, the soft output, and the complete information are derived. Since the log-MAP algorithm is functionally dependent only upon the differences between path metrics, not their magnitudes, a module normalization technique that is automatically implemented in two's complement arithmetic can be used to accommodate overflow of the path metrics. An expression for the minimum internal data width of a soft-input soft-output decoder that employs the module normalization technique is derived. As an application, the minimum internal data width of a decoder for the turbo code used in third-generation mobile communication systems is determined. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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