3 research outputs found

    Analysis of Efficiency of the Bioinspired Method for Decoding Algebraic Convolutional Codes

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    It has been shown that convolutional codes are widely used, along with various decoding methods, to improve the reliability of information transmission in wireless telecommunication systems. The general principles of synthesis and the parameters and algebraic non-systematic convolutional codes with arbitrary coding rate and maximum achievable code distance have been shown.The basic stages of the bioinspired method for decoding algebraic convolutional codes using a random shift mechanism have been presented. It has been shown that the essence of the presented decoding method implies applying the procedure of differential evolution with the heuristically determined parameters. In addition, this method uses information about the reliability of the adopted symbols to find the most reliable basis for the generalized generator matrix. The mechanism of random shift for the modification of the accepted sequence is additionally applied for the bioinspired search based on various most reliable bases of a generalized generator matrix.The research results established that the bioinspired method for decoding algebraic convolutional codes ensures greater efficiency compared with the algebraic decoding method in the communication channel with additive white Gaussian noise. Depending on the parameters of the algebraic convolutional code and the necessary error coefficient, the energy gain from encoding ranges from 1.6 dB to 3 dB. It was shown that the presented bioinspired decoding method can be used for convolutional codes with a large code constraint length.In doing so, the presented method for decoding algebraic convolutional codes is less efficient than the Viterbi decoding method and turbo codes at a sufficient number of decoding iteration

    Substantiation of Environment Protection Measures of Natural and Man-made Landscapes in the Zone of Waste Storage

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    The theoretical approaches to mathematical modeling the process of migrating substances interception with anthropogenic physicochemical barriers in nature conservation ameliorative measures have been displayed.The object of research is ameliorative measures for protection against pollution of territories and water objects in the waste storage zone, improvement of approaches to substantiation of their type, composition, structure and parameters.One of the most problematic places in the waste storage area is the emergence of unpredictable physical, chemical and biological processes, the products of which are numerous toxic migratory chemical compounds in various aggregate states, which adversely affect the state of the environment and human health.During the study, methods of passive and active experiment were used. Field studies on existing production facilities for waste storage, as well as laboratory studies of filtration and sorption characteristics of reclamation sorbent and filling of drainage accumulating networks are carried out in appropriate certified laboratories, performed according to current standard methods with the processing of the obtained results in accordance with generally accepted statistical methods.The basic constructive element of drainage-accumulative networks – drainage trench-absorber has been developed. The character and level of dependencies between the parameters of the concentration of the filtrate solution and the capacity of the ameliorant-sorbent is obtained, on which the justification of the norm of its introduction into drainage trenches-absorbers for neutralization of pollutants in filtration waters can be carried out.The developed complex of measures provides the necessary level of protection of territories and water objects in the waste storage area in compliance with modern economic, environmental and social requirements

    Performance Analysis of the Bioinspired Method for Optimizing Irregular Codes with A Low Density of Parity Checks

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    This paper reports the principles of building irregular codes with a low density of parity checks. It has been determined that finding irregular finite-length codes with improved characteristics necessitates the optimization of the distributions of powers of the symbol and test vertices of the corresponding Tanner graph. The optimization problem has been stated and the application of a bioinspired approach to solving it has been substantiated. The paper considers the main stages of the bioinspired method to optimize the finite-length irregular codes with a low density of parity checks. It is shown that a given method is based on the combined application of the bioinspired procedure of bats, a special method for building Tanner graphs, and computer simulation.The reported study aimed to evaluate the effectiveness of the proposed method for optimizing irregular codes when using the selected bioinspired procedure and the predefined model of a communication channel.Based on the study results, it has been determined that the optimized relatively short irregular codes with a low density of parity checks possess better characteristics compared to existing codes. It is shown that the derived codes do not demonstrate the effect of an "error floor" and ensure an energy win via encoding of about 0.5 dB compared to regular codes depending on the length of the code. It has been determined that the optimization of irregular codes with a low value of the maximum power in the distribution of powers of the symbol vertices of the Tanner graph leads to a decrease in the order of an error coefficient in the region with a high signal/noise ratio.The application of the optimized irregular codes with a low density of parity checks could improve the efficiency of next-generation wireless telecommunication system
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