Global Navigation Satellite System
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Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments
Announce Type: replace Abstract: Autonomous unmanned aerial vehicles (UAVs) increasingly rely on reinforcement learning (RL) for navigation. However, global navigation satellite system (GNSS) spoofing attacks can induce out-of-distribution observation shifts that corrupt value estimation and degrade mission performance. Existing robust RL approaches typically improve resilience against specific attack models but often fail to generalize to attacks not encountered during training.
LdT: An indicator of ionospheric activity based on statistical distributions in GNSS-derived TEC rates of change
arXiv:2504.06056v3 Announce Type: replace Abstract: Many aspects of our societies now depend upon satellite telecommunications, such as those requiring Global Navigation Satellite Systems (GNSS). GNSS is based on radio waves that propagate through the ionosphere and experience complicated propagation effects caused by inhomogeneities in its electron density. The Earth's ionosphere forms part of the solar-terrestrial environment, and its state is determined by the spatial distribution and...
An Asynchronous Two-Speed Kalman Filter for Real-Time UUV Cooperative Navigation Under Acoustic Delays
arXiv:2604.02878v2 Announce Type: replace Abstract: In Global Navigation Satellite System (GNSS)-denied underwater environments, individual unmanned underwater vehicles (UUVs) suffer from unbounded dead-reckoning drift, making collaborative navigation (CN) crucial for accurate state estimation. However, the severe communication delay inherent in underwater acoustic channels poses serious challenges to real-time state estimation. Traditional filters, such as Extended Kalman Filters (EKFs) or...
Tracing a powerful GNSS interference source over Europe
Electrical Engineering and Systems Science > Signal Processing [Submitted on 2 Jun 2026] Title:Chasing Lightning: Detecting, Characterizing, and Identifying a Powerful Space-Based GNSS Interference Source View PDF HTML (experimental)Abstract:This paper analyzes and identifies a space-based Global Navigation Satellite System (GNSS) interference source that has caused scores of powerful transient wide-area interference events over continental Europe, Greenland, and Canada since 2019.
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
arXiv:2606.07725v1 Announce Type: new Abstract: Displacement time series from Global Navigation Satellite Systems (GNSS) are essential for a wide range of applications, including monitoring tectonic crustal deformations and investigating the different stages of the earthquake cycle. Machine learning methods have proven promising for GNSS applications; however, most remain fully supervised. This creates a bottleneck as labeled data are scarce, even though large amounts of unlabeled GNSS data...
Multi-Modal Assessment of Road Roughness Using Smartphone Applications, Acceleration, and Passenger Ratings
arXiv:2606.03427v1 Announce Type: new Abstract: This paper investigates a multi-modal and human-centric framework for low-cost road roughness assessment. The evaluation was based on three complementary data sources: smartphone-based International Roughness Index (IRI) estimates from two independent smartphone-based applications; in-vehicle GNSS-IMU Receiver (Global Navigation Satellite System Receiver with Inertial Measurement Unit) measurements, and passenger Present Serviceability Ratings...
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
arXiv:2606.07725v1 Announce Type: cross Abstract: Displacement time series from Global Navigation Satellite Systems (GNSS) are essential for a wide range of applications, including monitoring tectonic crustal deformations and investigating the different stages of the earthquake cycle. Machine learning methods have proven promising for GNSS applications; however, most remain fully supervised. This creates a bottleneck as labeled data are scarce, even though large amounts of unlabeled GNSS...
Mystery GPS jammer in Iran becomes test for NASA satellites’ capabilities
NASA satellites have successfully demonstrated the ability to locate the approximate positions of GPS jammers, using an experiment involving a mysterious device in Iran. This capability could be valuable for monitoring high-risk areas for aircraft and ships navigating increasing global GPS interference. While the satellites cannot provide real-time or exact locations, identifying general areas of jamming could aid in flight and maritime planning.
From Agni 5 to Akash & hypersonics: Decoding India's homegrown arsenal & defence shield
The ongoing conflicts in Ukraine, on the borders of Israel and in the Persian Gulf have underscored the importance of indigenous defence technologies and a domestic industry to back innovation. India has been steadily working to become self-reliant in defence manufacturing. The country is now on a razor’s edge—designing, developing, and deploying homegrown defence technologies.
Singapore's lighthouses face an uncertain future as coastal developments close in
Singapore's lighthouses face an uncertain future as coastal developments close in The Tuas Port and Long Island developments may force two of Singapore's lighthouses to relocate. SINGAPORE: Every time Mr Ithnin Atan climbs to the lantern room of Sultan Shoal Lighthouse, he checks the same things: the lenses, the batteries, the glass panes that look out over the Singapore Strait. It is a routine he has repeated for years.