A new piecewise linear modification to log-map turbo decoding algorithm: comparative analysis, numerical estimations, and simulation
Fragment książki (Materiały konferencyjne)
MNiSW
15
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| Status: | |
| Autorzy: | Kvetny Roman N., Ivanov Yuriy Yu., Kulyk Anatoliy Ia., Sawicki Daniel, Mekebayev Nurbapa |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 1,0 |
| Język: | angielski |
| Strony: | 664 - 676 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 0 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | The Summer XLII-nd IEEE-SPIE Joint Symposium on Photonics, Web Engineering, Electronics for Astronomy and HIgh Energy Physic Experiments |
| Skrócona nazwa konferencji: | The Summer XLII-nd IEEE-SPIE Joint Symposium on Photonics, Web Engineering, Electronics for Astronom |
| URL serii konferencji: | LINK |
| Termin konferencji: | 3 czerwca 2018 do 10 czerwca 2018 |
| Miasto konferencji: | Wilga |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| In this article, we discuss an extensive class of channel codes called turbo codes. These error correction methods will achieve very good results in terms of error rates, which may be close to the bandwidth limit of the Shannon channel. The article begins with a brief discussion on the coding of the turbo, and then describes the form of the iterative decoder most often used to decode the turbo codes. This article proposes a new optimal modification of the log-MAP-log decoding algorithm. This method (PL-log-MAP) is based on a partial linear approximation of the correction function in the Jacobean logarithm. Using the proposed approximation, the complex functions of In (.) I exp (.) In the log-MAP algorithm can be estimated with high accuracy and lower computational complexity. The effectiveness of the proposed approximation is tested and demonstrated by applying it to the digital communication system for transmission images in MatLab. It seems that the performance of the PL-log-MAP algorithm has the closest efficiency to the original log-MAP solution. |
