![Sample our Physical Sciences journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/110819/TOC-Subject-Sample-2021-Physical-Sciences.jpg"})
Abstract
A reliable ionospheric model is very important in such fields as satellite positioning and surveying, radiocommunication, space weather and so on. In this way, a correct calculation of Total Electron Content would have many useful implications. In this paper, a novel approach based on Support Vector Machines and used for Total Electron Content estimation is described. It exploits Global Positioning System observables, with encouraging results.