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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">tuzsut</journal-id><journal-title-group><journal-title xml:lang="ru">Труды учебных заведений связи</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of Telecommunication Universities</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1813-324X</issn><issn pub-type="epub">2712-8830</issn><publisher><publisher-name>СПбГУТ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31854/1813-324X-2021-7-2-51-67</article-id><article-id custom-type="elpub" pub-id-type="custom">tuzsut-165</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>ЭЛЕКТРОНИКА, ФОТОНИКА, ПРИБОРОСТРОЕНИЕ И СВЯЗЬ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ELECTRONICS, PHOTONICS, INSTRUMENTATION AND COMMUNICATIONS</subject></subj-group></article-categories><title-group><article-title>Позиционирование транспортных средств с комплексированием дальномерных, угломерных и инерциальных измерений в расширенном фильтре Калмана</article-title><trans-title-group xml:lang="en"><trans-title>Positioning of Vehicles with the Fusion of Time of Arrival, Angle of Arrival and Inertial Measurements in the Extended Kalman Filter</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5358-1895</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Фокин</surname><given-names>Г. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Fokin</surname><given-names>G. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Фокин Григорий Алексеевич  – кандидат технических наук, доцент, доцент кафедры радиосвязи и вещания </p><p>St. Petersburg, 193232</p></bio><bio xml:lang="en"><p>St. Petersburg, 193232</p></bio><email xlink:type="simple">grihafokin@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8852-5607</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Владыко</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Vladyko</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Владыко Андрей Геннадьевич – кандидат технических наук, директор НИИ «Технологии связи»</p><p>St. Petersburg, 193232</p></bio><bio xml:lang="en"><p>St. Petersburg, 193232</p></bio><email xlink:type="simple">vladyko@sut.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича<country>Россия</country></aff><aff xml:lang="en">The Bonch-Bruevich State University of Telecommunication<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>25</day><month>09</month><year>2021</year></pub-date><volume>7</volume><issue>2</issue><fpage>51</fpage><lpage>67</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Фокин Г.А., Владыко А.Г., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Фокин Г.А., Владыко А.Г.</copyright-holder><copyright-holder xml:lang="en">Fokin G.A., Vladyko A.G.</copyright-holder><license 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://tuzs.sut.ru/jour/article/view/165">https://tuzs.sut.ru/jour/article/view/165</self-uri><abstract><p>Настоящая работа посвящена исследованию моделей и методов повышения точности позиционирования в сверхплотных сетях радиодоступа V2X/5G при маневрах транспортных средств за счет комплексирования дальномерных и угломерных первичных измерений с измерениями инерциальных навигационных систем в расширенном фильтре Калмана. Бортовая бесплатформенная инерциальная навигационная система представлена модулями трехосевого акселерометра и гироскопа. Интеграция первичных инерциальных измерений ускорения и угловой скорости с первичными радиотехническими измерениями угла и времени прихода сигнала осуществляются путем преобразования инерциальной системы координат акселерометра и гироскопа в связанную систему координат транспортного средства с использованием кватернионов. Вторичная обработка инерциальных  и радиотехнических измерений  осуществляется в расширенном фильтре Калмана. Результаты комплексирования показывают повышение точности оценки траектории транспортного средства с нескольких метров до одного метра при повороте на перекрестке.</p><p> </p></abstract><trans-abstract xml:lang="en"><p>This work is devoted to the study of models and methods for improving posi-tioning accuracy in ultradense V2X/5G radio access networks for vehicles during maneuvers by combining range and angle primary measurements with measure-ments of inertial navigation systems in the extended Kalman filter. Onboard platformless inertial navigation system is represented by three-axis accelerometer and gyroscope modules. Integration of primary inertial measurements of acceleration and angular velocity with primary radio measurements of range and angle is carried out by converting the inertial coordinate system of the accelerometer and gy-roscope into coordinate system of vehicle using quaternions. Secondary pro-cessing of inertial and radio measurements is carried out in the extended Kalman filter. The integration results show an increase in the accuracy of estimating the trajectory of a vehicle from several meters to one meter when turning at an inter-section.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>позиционирование</kwd><kwd>сверхплотные сети 5G</kwd><kwd>vehicle to everything</kwd><kwd>дальномерные и угломерные измерения</kwd><kwd>инерциальная навигационная система</kwd><kwd>расширенный фильтр Калмана</kwd><kwd>кватернионы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>positioning</kwd><kwd>ultra-dense 5G networks</kwd><kwd>vehicle to everything</kwd><kwd>range &amp; angle measurements</kwd><kwd>inertial navigation system</kwd><kwd>extended Kalman filter</kwd><kwd>quaternions</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование выполнено в рамках исполнения Государственного контракта № П33-1-26/9.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Фокин Г.А. 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