Aircraft navigation using MEMS IMU and ground radio beacons

Aircraft navigation using MEMS IMU and ground radio beacons Navigation of a small-sized aircraft is discussed using integrated data from MEMS-based IMU and receiver of ground radio beacon signals within an integrated tightly-coupled orientation and navigation system (IONS). IONS algorithms and errors in orientation and navigation parameters are considered both during prestart IMU error calibration with external aiding over a limited time interval and during simulation of aircraft flight along a preset path. Data in IONS are integrated using the extended Kalman filter (EKF). In simulation modeling of IONS functioning algorithms in Matlab (Simulink) we used data of bench tests of MEMS sensors developed by Elektropribor. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Gyroscopy and Navigation Springer Journals

Aircraft navigation using MEMS IMU and ground radio beacons

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Publisher
Pleiades Publishing
Copyright
Copyright © 2017 by Pleiades Publishing, Ltd.
Subject
Engineering; Aerospace Technology and Astronautics; Geophysics/Geodesy
ISSN
2075-1087
eISSN
2075-1109
D.O.I.
10.1134/S207510871703004X
Publisher site
See Article on Publisher Site

Abstract

Navigation of a small-sized aircraft is discussed using integrated data from MEMS-based IMU and receiver of ground radio beacon signals within an integrated tightly-coupled orientation and navigation system (IONS). IONS algorithms and errors in orientation and navigation parameters are considered both during prestart IMU error calibration with external aiding over a limited time interval and during simulation of aircraft flight along a preset path. Data in IONS are integrated using the extended Kalman filter (EKF). In simulation modeling of IONS functioning algorithms in Matlab (Simulink) we used data of bench tests of MEMS sensors developed by Elektropribor.

Journal

Gyroscopy and NavigationSpringer Journals

Published: Aug 23, 2017

References

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