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Research ArticleOriginal Article
Open Access

Optimized Position Estimation in Mobile Multipath Environments Using Machine Learning

Nesreen I. Ziedan
NAVIGATION: Journal of the Institute of Navigation June 2023, 70 (2) navi.569; DOI: https://doi.org/10.33012/navi.569
Nesreen I. Ziedan
Computer and Systems Engineering Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt
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Article Information

vol. 70 no. 2 navi.569
DOI 
https://doi.org/10.33012/navi.569

Published By 
Institute of Navigation
Print ISSN 
0028-1522
Online ISSN 
2161-4296
History 
  • Received October 10, 2021
  • Revision received July 23, 2022
  • Accepted September 12, 2022
  • Published online March 13, 2023.

Copyright & Usage 
© 2023 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. Nesreen I. Ziedan⇑
  1. Computer and Systems Engineering Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt
  1. Correspondence
    Nesreen I. Ziedan, Email: ziedan{at}ieee.org
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NAVIGATION: Journal of the Institute of Navigation: 70 (2)
NAVIGATION: Journal of the Institute of Navigation
Vol. 70, Issue 2
Summer 2023
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Optimized Position Estimation in Mobile Multipath Environments Using Machine Learning
Nesreen I. Ziedan
NAVIGATION: Journal of the Institute of Navigation Jun 2023, 70 (2) navi.569; DOI: 10.33012/navi.569

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Optimized Position Estimation in Mobile Multipath Environments Using Machine Learning
Nesreen I. Ziedan
NAVIGATION: Journal of the Institute of Navigation Jun 2023, 70 (2) navi.569; DOI: 10.33012/navi.569
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  • Article
    • Abstract
    • 1 INTRODUCTION
    • 2 OPTIMIZED POSITION ESTIMATION (OPE)
    • 3 INTELLIGENT SIGNAL STATUS ESTIMATION (ISE)
    • 4 EXPERIMENTS AND RESULTS
    • 5 SUMMARY AND CONCLUSION
    • HOW TO CITE
    • REFERENCES
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Keywords

  • machine learning
  • multipath
  • self-organizing map
  • tracking
  • urban area

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