Affiliation:
1. Academy of Sciences of Ukraine
Abstract
The article is devoted to increasing the efficiency of the functioning of wireless information transmission systems due to the adaptation of the parameters of recursive systematic convolutional codes of turbo codes by bypassing the nodes of the spatial grid and calculating the objective function. The probability of a white error of information decoding is chosen as the objective function. To calculate the chosen probability of a white error of information decoding, it is proposed to use Bowes-Choudhury-Hockingham codes, since for turbo codes there are only approximate asymptotic characteristics that give a large error at small values of the signal-to-noise ratio. Analysis of known works shows that adaptation schemes of these codes are used to improve the reliability of information. At the same time, during adaptation, in the vast majority of works, only one parameter changes - the coding speed, which does not fully increase the effectiveness of corrective coding schemes. That is why it is proposed to use several parameters during adaptation, namely the polynomials of forward and backward connections of recursive systematic convolutional codes and the coding speed of turbo codes. 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 parameters of the turbo codes, which were found using the method for the channel with additive white Gaussian noise for different sizes of the input data block, are given. We consider the direction of further research to expand the space of the spatial lattice to take into account more parameters of turbo codes during adaptation, while the following can be foreseen: the number of bits in the block, types of interleavers, decoding algorithms, decoding iterations, etc.
Publisher
Borys Grinchenko Kyiv Metropolitan University
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