Impact Analysis of Ionospheric Effect and scintillation in the Network-based Positioning in periods of high and low Solar Activity

• Grant number: 14/03858-9
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): May 01, 2014
• Effective date (End): February 29, 2016
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geodesy
• Principal Investigator: Daniele Barroca Marra Alves
• Grantee: Mayara Cobacho Ortega
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

In order to take advantage from global positioning systems, new positioning methods have emerged and others have been improved. An important tendency in recent years has been the use of GNSS (Global Navigation Satellite System) reference stations networks. But, using networks or other positioning methods an important factor to improve the positioning quality is related to atmospheric modeling. Special attention should be given to errors that occur due to ionosphere, it became the largest error source in GNSS positioning after disabling SA (Selective Availability) technique. Ionosphere error depends on signal frequency and Total Electron Content (TEC) in the Ionospheric layer. TEC and consequently the ionospheric error varies regularly in time and space and they are affected by different sources like: sunspot number (solar cycle), season, local time, geographic position, geomagnetic activity, and others. Besides, the ionosphere can not only degrade the accuracy of GNSS positioning as well as reduce its availability. This occurs because there is a high dependence between the signal losses and ionospheric irregularities, such as ionospheric scintillation. Currently, the systematic error due to the ionosphere can be corrected using regional models, ionospheric grid models, GIMS (Global Ionospheric Maps), and others. In this research, the main goal is to use data from GNSS reference stations to conduct studies related to ionospheric effects and its irregularities in network-based positioning, using different ionospheric models and maps.Keywords: Ionospheric effects. Ionospheric scintillation. Network-Based Positioning. Solar Activity

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ORTEGA CALDEIRA, MAYARA COBACHO; TANAJURA CALDEIRA, CARLOS RODRIGO; DOS ANJOS CEREJA, SAMARA SUNNY; MARRA ALVES, DANIELE BARROCA; DE AGUIAR, CLAUDINEI RODRIGUES. EVALUATION OF THE GNSS POSITIONING PERFORMANCE UNDER INFLUENCE OF THE IONOSPHERIC SCINTILLATION. Bol. Ciênc. Geod., v. 26, n. 3, 2020. (14/03858-9, 12/19906-7)