Starlink Beacons for Passive LEO-Aided 9D Navigation
Nisanur Camuzcu, Tiep M. Hoang, Alireza Vahid

TL;DR
This paper proposes a hybrid navigation system combining GPS, Starlink beacons, and inertial sensors, demonstrating that Starlink Doppler-rate signals can enhance 9D navigation accuracy in GNSS-degraded environments.
Contribution
It introduces an end-to-end LEO-aided hybrid framework that fuses Starlink downlink beacons with GPS and inertial data for robust 9D navigation.
Findings
Starlink Doppler-rate signals provide valuable complementary PNT information.
The integrated system improves navigation accuracy when GNSS signals are degraded.
Simulation and hardware tests confirm the effectiveness of the Starlink-assisted navigation.
Abstract
Global Navigation Satellite Systems (GNSS) underpin positioning, navigation, and timing (PNT), yet their low-power signals are easily blocked or disrupted, leaving gaps in PNT availability in contested environments (e.g. maritime settings) where interference, spoofing, or denial can occur. A key practical need is an independent, ubiquitous aiding signal that can be tracked passively and fused with inertial sensing to sustain full navigation-state estimation without dedicated or cooperative infrastructure. This paper presents an end-to-end LEO-aided hybrid framework that fuses GPS, Starlink downlink beacons, and an inertial measurement unit (IMU) in a 9D (3D position, 3D velocity, and 3D attitude) PNT system using an extended Kalman filter (EKF). We (i) extract Doppler-rate from Starlink downlink beacon tones by associating measurements with satellite IDs, (ii) benchmark beacon…
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