Method of preparing initial polynomials for recursive systematic convulsion codes of turbocodes using a genetic algorithm
The article is devoted to increasing the efficiency of wireless information transmission systems with adaptation due to the preparation of initial polynomials of recursive systematic convolutional codes of turbo codes using a genetic algorithm. As an objective function, an indicative number of sign...
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| Datum: | 2024 |
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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
Kyiv National University of Construction and Architecture
2024
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| Schlagworte: | |
| Online Zugang: | https://es-journal.in.ua/article/view/308703 |
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| Назва журналу: | Environmental safety and natural resources |
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Environmental safety and natural resources| Zusammenfassung: | The article is devoted to increasing the efficiency of wireless information transmission systems with adaptation due to the preparation of initial polynomials of recursive systematic convolutional codes of turbo codes using a genetic algorithm. As an objective function, an indicative number of sign changes of the apriori-posterior information of the turbo code decoder for a certain sample of data bits is proposed. The analysis of known works shows that when using adaptive systems with coding as an adaptable parameter, the coding speed is used, which is regulated by the number of check symbols from the output of the turbo code encoder, while there are no developments on the adaptation of turbo code polynomials, as well as on the rapid formation of initial polynomials recursive systematic convolutional codes turbo codes. The considered features do not allow solving the optimization problem using numerical methods, such as the problem of multivariate search for extremum, because it refers to complex optimization problems. However, from the point of view that the domain of solutions is a finite set, the problem can be solved by sorting through all possible values of the vector using methods and algorithms for sequential narrowing of the set of solutions (complete and targeted sorting). The use of rational polynomials as initial ones during adaptation will allow more effective use of the energy efficiency of wireless data transmission systems. The article consists of an introduction, which highlights the problem, analyzes the latest research and publications on this topic, and formulates the purpose of the article. The results of the research are shown, conclusions and prospects for further research are drawn. The article ends with a list of used sources. As a result of the work of the proposed method, the primary polynomials of turbo codes, which were found using a genetic algorithm for a channel with additive white Gaussian noise, are given. We consider the search for initial interleavers between component recursive systematic convolutional codes of turbo codes to be the direction of further research. |
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