EventsEuropean Navigation Conference 2025
Published
This submission belongs to the session 1. Algorithms and Methods of the event European Navigation Conference 2025
Published date
22 Sep, 2025
Academic Editor
author-avatarTomasz Hadas
Citation
Jiachen Yin, Ivan Petrunin, Triyan Pal Arora, Antonios Teourdos, Smita Tiwari, Pekka Peltola, Martin Bransby, Alexandru Budianu, Filipe Salgueiro, Mudassir Raza, Ben Lavin, Enhanced DME Carrier Phase Tracking Approach for Alternative PNT in UAV Applications, in Proceedings of European Navigation Conference 2025, Wrocław, 21 May–23 May 2025, MDPI: Basel, Switzerland
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Enhanced DME Carrier Phase Tracking Approach for Alternative PNT in UAV Applications

Triyan Pal Arora 1
Ivan Petrunin 1
Antonios Teourdos 1
Ben Lavin 2
Martin Bransby 2
Alexandru Budianu 3
1. Faculty of Engineering and Applied Science, Cranfield University, Bedford, United Kingdom, UK
2. Telespazio, United Kingdom, UK
3. European Space Agency, The Netherlands
Abstract

The demand for reliable Positioning, Navigation, and Timing (PNT) solutions is rapidly increasing due to the growing need for precision, efficiency, and safety in unmanned systems. As operations become more autonomous, the reliance on accurate and continuous PNT data becomes critical for maintaining system integrity. The Global Navigation Satellite System (GNSS), while serving as the primary global PNT service, is vulnerable to interference, jamming, and spoofing attacks. This raises serious concerns, particularly for safety-critical applications, and requires an urgent need for resilient Alternative PNT (A-PNT) solutions.
Leveraging an existing worldwide infrastructure, the Distance Measuring Equipment (DME) system is considered one of the most promising candidates for A-PNT to address GNSS vulnerabilities. Utilizing the carrier phase of the DME signal enables distance measurements with centimeter-level accuracy. However, due to the pulse system nature of DME transmissions and the sparsity of phase observations, conventional carrier tracking loops such as PLLs and FLLs struggle to maintain a reliable phase lock. To address these challenges, this work proposes a zero-crossing-integrated Kalman filter-based approach to track the DME carrier signal at an irregular rate. The performance of the proposed algorithm is validated through a series of drone tests at Cranfield University, UK. The validation results demonstrate that the proposed enhanced carrier tracking approach consistently delivers stable and accurate performance.

Keywords
Distance measurement Equipment
Carrier Tracking
Kalman filter
Signal of opportunity
Alternative PNT
Blender-based simulation and evaluation framework for GNSS-LiDAR sensor fusion
Toward an Interpretable Multipath Error Model from GNSS Observables through the Application of Deep Learning