Elecnor Deimos will participate in the ION GNSS+ 2017 conference, the 30th Technical Meeting of the Satellite Division of the Institute of Navigation taking place in Portland, Oregon, September 25-29.
The company will display its latest technologies and solutions at the Exhibit Hall, booth 419. Elecnor Deimos staff will be offering insights on the latest and future developments of GNSS systems, the potential of using reflected GNSS signals for applications such as water surface altimetry and biomass estimation, multi-GNSS receivers and research tools, such as the G3 GNSS receiver and the GRANADA Software Suite, and the great advantages provided by the use of GNSS receivers for space navigation.
In this regard, our Director of Global Navigation Satellite Systems, Antonio Fernández, will address the challenges related to the use of GNSS receivers in Highy-Elliptical Orbits (HEO) during the second Aerospace Applications session. He will present the pros and cons of employing the known AGGA4 space receiver processor as baseline compared to software-defined receiver architectures. The results of the study, carried out in the frame of project HEOP and taking the PROBA-3 mission as a reference, are included in the following paper:
Design and Analysis of High Sensitivity Algorithms for HEO Orbit GNSS Receivers. Mariano Wis, Giovanni Veccione (Deimos Space); Joao S. Silva, Pedro Silva (Deimos Engenharia); J.A. Garcia-Molina (ESTEC – ESA).
ION GNSS+ 2017 represents the world’s largest technical meeting and showcase of GNSS technology, products and services, and brings together thought-leaders in the field to present new research, introduce new technologies and exchange ideas. For more information about the conference, visit www.ion.org/gnss
Elecnor Deimos’s participation in the conference includes a paper presentation at the Aerospace Applications session and the display of its latest GNSS technology and solutions at the Exhibit Hall
13/07/2020. P3-NEO-I project, led by Elecnor Deimos, records two lunar impact flashes while characterizing [...]