Imagine if planes relied on a single GPS signal that could be blocked or faked, leaving them blind over the ocean. This project creates a backup system using satellites that act like a digital triangulation net to find a plane's location without needing GPS. It's like having a second set of eyes in space to double-check that a plane is exactly where it says it is.
Air traffic in remote and oceanic areas relies on GNSS-dependent systems, which are vulnerable to jamming and spoofing. This forces aircraft to maintain wider separation, increasing fuel consumption and emissions.
A system performance prediction tool and an end-to-end evaluation tool to validate a composite space-based ADS-B and MLAT surveillance concept.
If you are an ANSP dealing with limited airspace capacity in oceanic regions due to wide separation rules — this project developed a composite ADS-B and MLAT validation system that allows for tighter safety standards and more efficient routing.
If you are a satellite operator dealing with the vulnerability of GNSS-only surveillance — this project developed a method to extract Time, Frequency, and Angle of Arrival from aircraft signals to provide independent position verification.
If you are a certification body dealing with signal jamming or spoofing in unstable geopolitical environments — this project developed an integrity estimator to cross-check reported positions against independent space-based measurements.
Based on available project data, no specific cost or pricing information is provided.
No, the project aims to reach TRL2, meaning it is currently in the conceptual and theoretical validation stage using simulations and lab experiments.
Based on available project data, there are no details regarding IP or licensing agreements.
The system performance is evaluated against the EUROCAE ED-142A standards for air traffic surveillance.
The project period runs from 2024-07-01 to 2026-12-31.
It utilizes existing ADS-B signals from aircraft, but requires satellites equipped with specific receivers to extract ToA, FoA, and AoA data.
The consortium consists of 6 partners from 5 countries, showing a strong academic lean with 3 universities and 1 research center. Industrial participation is low at 17% (1 company), suggesting the project is focused on fundamental technical validation rather than immediate commercial productization.
Contact Universitat Politècnica de València regarding the SATERA project
Contact us to find partners for scaling this TRL2 concept to a physical prototype.
