Forecasting Parameters of Satellite Navigation Signal through Artificial Neural Networks for the Purpose of Civil Aviation

• Published in: International Journal of Aerospace Engineering Vol. 2019; no. 2019; pp. 1 - 11
• Main Authors: Krzykowska, Karolina, Krzykowski, Michał
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Aeronautics; Aerospace engineering; Air transportation; Air travel; Analysis; Artificial neural networks; Artificial satellites; Civil aviation; Continuity; Electronics in navigation; Engineering; Forecasting; Forecasts and trends; Global positioning systems; GPS; Integrity; International conferences; Navigation systems; Neural networks; Parameters; Poland; Satellite navigation systems; Signal quality; Surveillance; Unmanned aerial vehicles; Poland

Navigation is a key element influencing fluent, rapid, and safe transport of people and goods. During the last years, special attention was paid to satellite navigation, which is a part of radionavigation where positioning is done thanks to artificial satellites. Issues of application and developmen...