
086 - Instantaneous High-Accuracy Positioning based on Hybrid-Meta-Signal Solutions (INSPIRE)
Status: On Going
Activity Code: NAVISP-EL1-086
Start date: 17/10/2024
Duration: 18 Months
The INSPIRE project aims to design, develop, and validate a novel GNSS-based positioning architecture tailored for challenging environments such as urban canyons and deep-urban areas. The project leverages meta-signal processing, peer-to-peer ranging, and hybrid positioning to improve accuracy, robustness, and availability of GNSS-based solutions in scenarios where traditional positioning systems struggle.
INSPIRE's ultimate objective is to push the frontier of resilient and accurate GNSS positioning by combining state-of-the-art signal processing with cooperative and sensor-fusion-based strategies, paving the way for next-generation navigation systems that can operate reliably in the most demanding environments.
Key Innovations are:
· Meta-Signal Processing: Advanced wideband GNSS signal processing techniques that enhance code observables and provide greater resilience to interference.
· Hybrid Positioning Engines: Integration of GNSS, inertial, and peer-to-peer measurements into a unified framework for high-accuracy, real-time positioning.
· Peer-to-Peer (P2P) Ranging: A novel cooperative ranging architecture based on COTS receivers, improving relative positioning performance, particularly in GNSS-challenged scenarios.
· Modular and Flexible Architecture: Implementation of a breadboard system using the SX3 software-defined GNSS receiver platform, enabling modular integration of new algorithms and real-time signal processing capabilities.
The system will be validated through extensive field testing in representative environments including:
· Open-sky and rural conditions (static and dynamic),
· Urban settings with moderate obstructions,
· Deep-urban environments with severe GNSS signal degradation.
Performance will be assessed using standardized Figures of Merit such as PVT accuracy, service availability, signal tracking quality, and time-to-fix. The validation will include real-time and post-processed evaluations using RTK/PPP corrections and a high-precision reference receiver setup.
Subcontractors

Name: Universität der Bundeswehr München (UniBw M)
Country: Germany
Website: https://www.unibw.de/lrt9


Last Updated: 23/04/2025 09:33