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Mitigating the scintillation effect on GNSS signals using MP and ROTI

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posted on 2022-12-08, 11:08 authored by Chendong Li, Craig HancockCraig Hancock, Sreeja Vadakke Veettil, Dongsheng Zhao, Nicholas AS Hamm
Ionospheric scintillation is one of the main error sources of Global Navigation Satellite System (GNSS) positioning. The presence of scintillation may result in cycle slips, measurement errors or even losses of lock on satellites, eventually leading to complete failure of positioning. Typically, scintillation parameters S4 and σϕ are used to characterize amplitude and phase scintillation, respectively. However, the scintillation parameters can only be generated from data with a frequency of at least 1 Hz. Rate of change of total electron content index (ROTI) is often used as a proxy for scintillation parameters, which can be obtained from 1/30 Hz data. However, previous research has shown the inefficiency of ROTI to represent scintillation. Therefore, the multipath parameter (MP) has been proposed as another proxy for scintillation parameters, which can also be obtained from 1/30 Hz data. In this paper, both MP and ROTI (standard parameters) were used to mitigate scintillation effects on precise point positioning (PPP). To evaluate the effectiveness of MP and ROTI in mitigating scintillation effects, S4 and σϕ were also used for comparison and validation. Three strategies are proposed: (1) remove all observations from the satellite that is most affected by scintillation; (2) remove the scintillation-affected observations; (3) weight the measurement noise matrix in the Kalman Filter (KF) process. The results show that the observation removal and weighting strategies are considerably more effective than the satellite removal strategy. The results also show that the improvement of PPP outputs reaches 93.1% and the performance of standard parameters is comparable to that of scintillation parameters in the observation removal and weighting strategies.

Funding

University of Nottingham Ningbo China Faculty of Science and Engineering PhD scholarship (17053FOSE)

Natural Science Foundation of Jiangsu Province (No. BK20200664)

Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University (No. 20-01-09)

History

School

  • Architecture, Building and Civil Engineering

Published in

Remote Sensing

Volume

14

Issue

23

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-11-24

Publication date

2022-12-01

Copyright date

2022

eISSN

2072-4292

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 5 December 2022

Article number

6089

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