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Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions

Published online by Cambridge University Press:  17 March 2020

M. A. Farhad ,
M. R. Mosavi Open the ORCID record for M. R. Mosavi [Opens in a new window] ,
A. A. Abedi  and
K. Mohammadi
M. A. Farhad
Affiliation:
(School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran)
M. R. Mosavi*
Affiliation:
(School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran)
A. A. Abedi
Affiliation:
(School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran)
K. Mohammadi
Affiliation:
(School of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran)
*
(E-mail: M_Mosavi@iust.ac.ir)
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Abstract

Global satellite navigation systems (GNSS) are nowadays used in many applications. GNSS receivers experience limitations in receiving weak signals in a degraded environment. Hence, tracking weak GNSS signals is a topic of interest to researchers in this field. Different methods have been proposed to address this issue, each of which has advantages and disadvantages. In this paper, a method based on the vector tracking method is proposed for weak signal tracking. This method has been developed based on a strong Kalman filter instead of the extended Kalman filter used in conventional vector tracking methods. In order to adjust important parameters of this filter, the fuzzy method is used. The results of tests performed with both simulated data and real data demonstrate that the proposed method performs better than previous ones in weak signal tracking.

Keywords

FuzzyGNSSWeak SignalKalman Filter
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 5 , September 2020 , pp. 991 - 1013
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Copyright
Copyright © The Royal Institute of Navigation 2020

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