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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">gyroscopy</journal-id><journal-title-group><journal-title xml:lang="ru">Гироскопия и навигация</journal-title><trans-title-group xml:lang="en"><trans-title>Giroskopiya i Navigatsiya / Gyroscopy and Navigation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0869-7035</issn><issn pub-type="epub">2075-0927</issn><publisher><publisher-name>AO «Концерн «ЦНИИ «Электроприбор»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">0.17285/0869-7035.0054</article-id><article-id custom-type="elpub" pub-id-type="custom">gyroscopy-160</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Пешеходная инерциальная навигация с коррекцией по нулевой скорости и комплексированием датчиков</article-title><trans-title-group xml:lang="en"><trans-title>Scenario-Dependent ZUPT-Aided Pedestrian Inertial Navigation with Sensor Fusion</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ван</surname><given-names>Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Wang</surname><given-names>Y.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ван Юйшен, доктор наук</p></bio><bio xml:lang="en"><p>University of California, Irvine, CA, USA</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Цзяо</surname><given-names>Ч.-Ш.</given-names></name><name name-style="western" xml:lang="en"><surname>Jao</surname><given-names>Ch.-Sh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Цзяо Чи-Ши. Аспирант</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шкель</surname><given-names>А. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Shkel</surname><given-names>A. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шкель А. М., профессор</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Калифорнийский университет,  SiTime Corporation</institution><country>Соединённые Штаты Америки</country></aff><aff xml:lang="en"><institution>University of California</institution><country>United States</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Калифорнийский университет</institution><country>Соединённые Штаты Америки</country></aff><aff xml:lang="en"><institution>University of California, Irvine, CA, USA</institution><country>United States</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>24</day><month>09</month><year>2025</year></pub-date><volume>29</volume><issue>1</issue><fpage>3</fpage><lpage>31</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ван Ю., Цзяо Ч., Шкель А.М., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Ван Ю., Цзяо Ч., Шкель А.М.</copyright-holder><copyright-holder xml:lang="en">Wang Y., Jao C., Shkel A.M.</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://www.gyroscopy.ru/jour/article/view/160">https://www.gyroscopy.ru/jour/article/view/160</self-uri><abstract><p>К пешеходной навигации проявляют большой интерес во многих областях, включая мониторинг состояния здоровья человека, индивидуальную навигацию внутри помещений и системы определения местоположения для служб быстрого реагирования. По причине потенциально сложных условий окружающей среды предпочтение следует отдавать автономной навигации, например инерциальной, которая не зависит от внешних сигналов. Вместе с тем на точность инерциальных методов оказывают влияние шум и дрейф датчиков, поэтому сами по себе они не подходят для длительной пешеходной навигации. Чтобы ограничить рост навигационных погрешностей, была разработана методика коррекции по нулевой скорости стопы в опорной фазе, но обеспечение адаптивности алгоритмов, корректности используемой модели и робастности системы представляет собой серьезную проблему, если не отнестись к ней должным образом. В статье сделана попытка выработать единый подход к решению задачи автономной пешеходной навигации с выявлением критических частей алгоритма, в наибольшей степени влияющих на общий результат. В первую очередь обсуждаются методы повышения точности навигации на каждом критически важном этапе реализации ее процедур, предложенные другими авторами. Приводятся результаты аналитических оценок и экспериментов, иллюстрирующие эффективность интегрирования процессов калибровки инерциального датчика, определения момента опорной фазы, выбора метода адаптации модели и комплексирования различных датчиков.</p></abstract><trans-abstract xml:lang="en"><p>Pedestrian navigation has been of high interest in many fields, such as human health monitoring, personal indoor navigation, and localization systems for first responders. Due to the potentially complicated navigation environment, selfcontained types of navigation such as inertial navigation, which do not depend on external signals, are more desirable. Pure inertial navigation, however, suffers from sensor noise and drifts and therefore is not suitable for long-term pedestrian navigation by itself. Zero-velocity update (ZUPT) aidingtechnique has been developed to limit the navigation error growth, but adaptivity of algorithms, model fidelity, and system robustness have been major a concern if not properly addressed. In this paper, we attempt to establish a common approach to solve the problem of self-contained pedestrian navigation by identifying the critical parts of the algorithmthat have a strong influence on the overall performance. We first review approaches to improve the navigation accuracy in each of the critical part of implementation proposed by other groups. Then, we report our results on analytical estimations and experiments illustrating effects of combining inertial sensor calibration, stance phase detection, adaptivemodel selection, and sensor fusion.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ZUPT-коррекция</kwd><kwd>пешеходнaя навигация</kwd><kwd>ИИМ</kwd><kwd>комплексирование датчиков.</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ZUPT</kwd><kwd>pedestrian navigation</kwd><kwd>IMU</kwd><kwd>sensor fusion.</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">Дмитриев С.П., Осипов В.А., Блажнов Б.А. Оценка влияния шума акселерометра и вибраций основания на погрешности измерений в задачах инерциальной геодезии // Гироскопия и навигация. 1994. №1 (4). С. 65–76.</mixed-citation><mixed-citation xml:lang="en">Дмитриев С.П., Осипов В.А., Блажнов Б.А. 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