Galileo-of-Things

Innovative GNSS receiver IP core for IoT

Galileo-of-Things

Ubiscale has been selected for funding by the GSA, the European Global Navigation Satellite Systems Agency for the Galileo-of-Things (GoT) project. The project initiated by Ubiscale is fitting with Fundamental Elements objectives to address the challenges of Galileo in mass-market applications.

The GoT project consists in an innovative approach to enforce Galileo for IoT trackers by developing a low-power & cost-efficient receiver IP core. It represents an overall R&D effort of about 1.3M€.

“Today, GNSS positioning in IoT devices represents a significant part of the bill-of-material and drive up device size. Thus, many constrained IoT applications are missing GNSS capability. We aim at delivering a breakthrough solution to make Galileo benefits affordable for mass-market and we are honored that our project have been selected.” comments Samuel Ryckewaert. “The support from GSA will significantly accelerate our time to business and match with the timeline of Galileo program”.

Designed to run on CEVA-DSP X1 platform, the lightweight processor of the leading provider of DSP, the receiving core will leverage Ubiscale’s expertise in low-power GNSS, LPWA connectivity and cloud-based processing & assistance.

The solution is especially tailored for IoT applications where power consumption and cost are the main design drivers. It enables next-generation System-On-Chip including Galileo capability with NB-IoT connectivity. The target usages cover location trackers for many consumer applications such as  people safety, goods protection, connected sport devices or pet tracking, and also professional markets such as smart cities and smart farming.

About Fundamental Elements

Fundamental Elements is a new EU R&D funding mechanism supporting the development of EGNSS-enabled chipsets, receivers and antennas.
The Fundamental Elements projects are part of the overall European GNSS strategy for market uptake, led by GSA.

Logos Page Reference 300x160 8