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Research ArticleOriginal Article
Open Access

A novel approach for aiding unscented Kalman filter for bridging GNSS outages in integrated navigation systems

Nader Al Bitar and Alexander Gavrilov
NAVIGATION: Journal of the Institute of Navigation September 2021, 68 (3) 521-539; DOI: https://doi.org/10.1002/navi.435
Nader Al Bitar
Department of Automatic Control Systems, Bauman Moscow State Technical University, Moscow, Russia
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Alexander Gavrilov
Department of Automatic Control Systems, Bauman Moscow State Technical University, Moscow, Russia
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Article Information

vol. 68 no. 3 521-539
DOI 
https://doi.org/10.1002/navi.435

Published By 
Institute of Navigation
Print ISSN 
0028-1522
Online ISSN 
2161-4296
History 
  • Received August 27, 2020
  • Revision received March 14, 2021
  • Accepted March 24, 2021
  • Published online July 12, 2021.

Copyright & Usage 
© 2021 Institute of Navigation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Author Information

  1. Nader Al Bitar⇑ and
  2. Alexander Gavrilov
  1. Department of Automatic Control Systems, Bauman Moscow State Technical University, Moscow, Russia
  1. Correspondence
    Nader Al Bitar, Department of Automatic Control Systems, Bauman Moscow State Technical University, ul. Baumanskaya 2-ya, 5/1, 105005, Moscow, Russia. Email: naderalbitar{at}gmail.com
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NAVIGATION: Journal of the Institute of Navigation: 68 (3)
NAVIGATION: Journal of the Institute of Navigation
Vol. 68, Issue 3
Fall 2021
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A novel approach for aiding unscented Kalman filter for bridging GNSS outages in integrated navigation systems
Nader Al Bitar, Alexander Gavrilov
NAVIGATION: Journal of the Institute of Navigation Sep 2021, 68 (3) 521-539; DOI: 10.1002/navi.435

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A novel approach for aiding unscented Kalman filter for bridging GNSS outages in integrated navigation systems
Nader Al Bitar, Alexander Gavrilov
NAVIGATION: Journal of the Institute of Navigation Sep 2021, 68 (3) 521-539; DOI: 10.1002/navi.435
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Keywords

  • Artificial neural networks
  • global navigation satellite systems
  • Inertial Navigation Systems
  • NARX
  • unscented Kalman filter

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