User-Oriented ICT Cloud Architecture for High-Accuracy GNSS-Based Services

Abstract

We introduce a new information and communication technology (ICT) cloud-based architecture for Global Navigation Satellite System (GNSS) high-accuracy solutions, offering also a commercial overview of GNSS downstream market to show how the developed innovation is thought to fit in the real context. The designed architecture is featured by dynamic scalability, increased integrity, and greater agility of the ICT system. The novelty of the solution developed is a customized ICT architecture, obtained through unique and privileged access to user communities in the frame of the H2020 project TREASURE, allowing the development of a solution entirely driven by user needs. The economic outlook of GNSS downstream markets evolution highlights how the technology proposed effectively matches the evolving business environment, specifically in regard to the increasing need for flexibility and competitive advantage deriving from services. The simultaneous adoption of the technical and commercial perspective is meant to offer interesting findings to both the scientific community and GNSS industry, creating synergies previously unexplored.

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

“…Further studies are needed for the statistical assessment of our results which can enable real-time implementation of the proposed detrending scheme in the next generation of scintillation receivers and dedicated infrastructures [24]. In addition, the technique can be also used on shorter time windows (e.g., 10 s) to account for shorter variations that are driven by sudden events or occurring in the high-latitude ionosphere (see [25], [26]).…”

Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique

“…Besides, a statistical assessment is needed under different geospatial conditions. This may open the door to a possible real-time implementation of FIF-based filtering in dedicated infrastructures (Ghobadi et al 2019). To this end, also a thorough assessment of the computing time performance is needed, while a preliminary assessment is given by Cicone (2020).…”