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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">uprinmatus</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Юго-Западного государственного университета. Серия: Управление, вычислительная техника, информатика. Медицинское приборостроение</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2223-1536</issn><publisher><publisher-name>Юго-Западный государственный университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21869/2223-1536-2024-14-4-8-27</article-id><article-id custom-type="elpub" pub-id-type="custom">uprinmatus-231</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАЦИОННЫЕ И ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION AND INTELLIGENT SYSTEMS</subject></subj-group></article-categories><title-group><article-title>Декодирование помехоустойчивого блокового кода в условиях априорной неопределенности</article-title><trans-title-group xml:lang="en"><trans-title>Decoding forward error correction code in a priori uncertainty</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0648-3651</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Двилянский</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Dvilyanskiy</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексей Аркадьевич Двилянский, кандидат технических наук, доцент</p><p>пр-т Вернадского, д. 78, г. Москва 119454</p></bio><bio xml:lang="en"><p>Dvilyanskiy A. Alexei, Candidate of Sciences (Engineering), Associate Professor</p><p>78 Vernadsky Ave., Moscow 119454</p></bio><email xlink:type="simple">dvilyanskiy@mirea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Юрлов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Yurlov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Владимирович Юрлов, кандидат технических наук, сотрудник</p><p>ул. Приборостроительная, д. 35, г. Орёл 302015</p></bio><bio xml:lang="en"><p>Alexander V. Yurlov, Candidate of Sciences (Engineering), Employee</p><p>35 Priborostroitelnaya Str., Orel 302015</p></bio><email xlink:type="simple">yurlov@bk.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>МИРЭА – Российский технологический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MIREA – Russian Technological University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Академия Федеральной службы охраны Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Academy of the Federal Security Service of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>21</day><month>02</month><year>2025</year></pub-date><volume>14</volume><issue>4</issue><fpage>8</fpage><lpage>27</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Двилянский А.А., Юрлов А.В., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Двилянский А.А., Юрлов А.В.</copyright-holder><copyright-holder xml:lang="en">Dvilyanskiy A.A., Yurlov A.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://uprinmatus.elpub.ru/jour/article/view/231">https://uprinmatus.elpub.ru/jour/article/view/231</self-uri><abstract><p>Цель исследования – повышение эффективности декодирования помехоустойчивых блоковых кодов в условиях априорной неопределенности относительно применяемых параметров.</p><sec><title>Методы</title><p>Методы. В современных системах отмечается применение помехоустойчивых блоковых кодов с большой длиной кодового слова, что позволяет в процессе кодирования достаточно далеко разнести друг от друга разрешенные кодовые комбинации и получить при итеративном декодировании возможность их правильного определения при низких значениях отношения сигнал / шум в канале связи. Использование длинных помехоустойчивых кодов требует сокращения сложности алгоритмов коррекции ошибок, оцениваемой числом операций различного типа на одну итерацию декодирования. Число операций различного типа будет зависеть от параметров кода и проверочной матрицы, а также применяемого алгоритма декодирования. Практическая реализация декодера имеет ряд ограничений, и его проектирование представляет сложную задачу, особенно в условиях априорной неопределенности относительно применяемых параметров кода. Для решения этой задачи предлагается использовать метод определения применяемой проверочной матрицы ЛБК на основе анализа принимаемой цифровой последовательности.</p></sec><sec><title>Результаты</title><p>Результаты. В ходе исследования был проведен сравнительный анализ известных методов определения параметров помехоустойчивого блокового кода и предложена модификация метода Гаусса для решения системы линейных алгебраических уравнений при нахождении проверочной матрицы ЛБК.</p></sec><sec><title>Заключение</title><p>Заключение. Предложенный метод позволяет избежать выполнения строгой последовательности действий согласно известному методу Гаусса, а также сократить временную сложность за счет распараллеливания вычислений и значительно увеличить эффективность практической реализации алгоритма нахождения проверочной матрицы ЛБК.</p></sec></abstract><trans-abstract xml:lang="en"><p>The purpose of research is to increase the efficiency of decoding noise–resistant block codes in conditions of a priori uncertainty about the parameters used.</p><sec><title>Methods</title><p>Methods. In modern systems, the use of noise-resistant block codes with a large codeword length is noted, which allows the permitted code combinations to be sufficiently far apart from each other during encoding and to obtain, during iterative decoding, the possibility of their correct determination at low values of the signal-to-noise ratio in the communication channel. The use of long noise-tolerant codes requires a reduction in the complexity of error correction algorithms, which is estimated by the number of operations of various types per decoding iteration. The number of operations of various types will depend on the parameters of the code and the verification matrix, as well as the decoding algorithm used. The practical implementation of the decoder has a number of limitations, and its design is a difficult task, especially in conditions of a priori uncertainty about the applied code parameters. To solve this problem, it is proposed to use the method of determining the applied LBC verification matrix based on the analysis of the received digital sequence.</p></sec><sec><title>Results</title><p>Results. In the course of the study, a comparative analysis of known methods for determining the parameters of an interference-resistant block code was carried out and a modification of the Gauss method was proposed to solve a system of linear algebraic equations when finding the LBC verification matrix.</p></sec><sec><title>Conclusion</title><p>Conclusion. The proposed method avoids performing a strict sequence of actions according to the well-known Gauss method, as well as reducing time complexity by paralleling calculations and significantly increasing the efficiency of practical implementation of the algorithm for finding the LBC verification matrix.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>помехоустойчивое кодирование</kwd><kwd>определение проверочной матрицы</kwd><kwd>метод Гаусса</kwd><kwd>метод четырех русских</kwd></kwd-group><kwd-group xml:lang="en"><kwd>noise-resistant coding</kwd><kwd>determination of the verification matrix</kwd><kwd>Gauss method</kwd><kwd>four-Russian method</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Performance Analysis of LDPC Decoding Techniques / Abdel Halim A. Zikry, Ashraf Y. Hassan, Wageeda I. Shaban, Sahar F. 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