Developing an ANN electron density profile model over Cyprus based on ionosonde measurements

H. Haralambous; Harris Papadopoulos; Md. Golam Mostafa

doi:10.1117/12.2193221

19 June 2015 Developing an ANN electron density profile model over Cyprus based on ionosonde measurements

H. Haralambous, Harris Papadopoulos, Md. Golam Mostafa

Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95351S (2015) https://doi.org/10.1117/12.2193221
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus

Abstract

The impact of the upper atmosphere on navigation, communication as well as surveillance systems is defined by the state of the ionosphere and in particular by variations in its electron density profile along the signal propagation path. The requirement for the accurate specification of the electron density profile stems from the fact that the electron density at each altitude determines the refractive index for radiowaves that are refracted by or penetrate the ionosphere and therefore affects significantly navigation and communication signals. Consequently satellite systems that are based on trans-ionospheric propagation may be affected by complex variations in the ionospheric structure in space and time leading to degradation of the availability, accuracy and reliability of their services. Therefore the specification of the electron density profile over a geographical region is very important within the context of operation of such systems. Although regional models have been developed for such a purpose by interpolating data coming from different instruments using various techniques, for a limited geographical scope, the single station model approach is the preferable option as it best encapsulates the behaviour of the ionosphere over the station. This paper presents the development of an Artificial Neural Network (ANN) model for the electron density profile of the ionosphere over Cyprus based on manually scaled ionograms collected at the Nicosia ionosonde station during the period 2009-2013.

Citation Download Citation

H. Haralambous, Harris Papadopoulos, and Md. Golam Mostafa "Developing an ANN electron density profile model over Cyprus based on ionosonde measurements", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95351S (19 June 2015); https://doi.org/10.1117/12.2193221

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KEYWORDS

Atmospheric propagation

Solar processes

Data modeling

Neon

Systems modeling

Navigation systems

Radio propagation

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