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ISSN 3034-3194
005 Применение фильтра Калмана для построения траектории движения тягового подвижного состава
Главная
/Архив номеров
/2020
/№ 4, 2020
/005 Application of Kalman filter for rolling stock track estimation to according GNSS
УДК 629.05 DOI 10.34649/AT.2020.4.4.005
Применение фильтра Калмана для построения траектории движения тягового подвижного состава
Иванов В.Ф., АО «Научно-исследовательский и проектно-конструкторский институт информатизации, автоматизации и связи на железнодорожном транспорте», начальник отдела Математического обеспечения систем управления Центра систем управления и обеспечения безопасности движения, Россия, Санкт-Петербург
Хатымов Р.А., АО «Научно-исследовательский и проектно-конструкторский институт информатизации, автоматизации и связи на железнодорожном транспорте», инженер-программист 2-й категории, Россия, Санкт-Петербург
Ключевые слова: расширенный фильтр Калмана, позиционирование, глобальная навигационная спутниковая система.
Аннотация. В статье рассматривается применение расширенного фильтра Калмана для оценки траектории движения тягового подвижного состава с учетом характерных для его движения особенностей. Приводятся примеры траектории движения, построенные по данным навигационной аппаратуры потребителей глобальных навигационных спутниковых систем, а также полученные в результате работы фильтра Калмана и делается их сравнение.
Application of Kalman filter for rolling stock track estimation
to according GNSS
Ivanov Vadim, JSC “NIIAS”, head of the Department of Mathematical support of control systems, Center for control systems and traffic safety, Russia, Saint Petersburg, e-mail: v.ivanov@vniias.ru
Khatymov Renat, JSC “NIIAS”, category II software engineer, Saint-Petersburg, Russia, khatymovrenat@gmail.com
Keywords: advanced Kalman filter, positioning, global navigation satellite systems
Summary: The article discusses the use of the extended Kalman filter to estimate the trajectory of the rolling stock, taking into account the features characteristic of its movement. There are examples GNSS trajectory and estimated by Kalman filter are analyzed and compared.
издается с 1923 г.
Актуально.
Достоверно. Доступно.
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- 2014
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- 2016
- 2017
- 2018
- 2019
- 2020
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- 2022
- № 1, 2022
- 001 General principles of safety proof of autonomous systems
- 002 Transport cyberphysical systems in management
- 003 Wireless optical communication channel with moving objects
- 004 Development of a hardware and software complex for the design and management of railway layouts
- 005 Formalization of subway automation and telemechanics systems design process
- №2, 2022
- №3, 2022
- №4, 2022
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- Maintaining multi-unit rolling stock data in the Automated system of operational transportation management
- History of railway signaling
- №5, 2022
- №6, 2022
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- On the portable test loops at control points of automatic locomotive signaling
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- 2023 обложки
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