Hacker News — AI on Front Page · · 3 min read

Tracing a powerful GNSS interference source over Europe

Mirrored from Hacker News — AI on Front Page for archival readability. Support the source by reading on the original site.

254 pts · 113 comments on Hacker News

Electrical Engineering and Systems Science > Signal Processing

arXiv:2606.03673 (eess)
[Submitted on 2 Jun 2026]

Title:Chasing Lightning: Detecting, Characterizing, and Identifying a Powerful Space-Based GNSS Interference Source

View a PDF of the paper titled Chasing Lightning: Detecting, Characterizing, and Identifying a Powerful Space-Based GNSS Interference Source, by Zachary L. Clements and Argyris Kriezis and Todd E. Humphreys
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. While terrestrial or near-terrestrial sources are primarily responsible for the recent uptick in GNSS interference worldwide, space-based interferers are of special concern given their potential for vast geographic reach and their portent of a qualitative escalation in GNSS interference. Based on data collected between 2019 and 2026 from a network of terrestrial GNSS reference stations, this paper (1) develops a received-power-based detection framework; (2) details the spatial, temporal, and spectral patterns of wide-area interference events caused by the source; (3) presents and analyzes identification techniques that blend received-power and time-difference-of-arrival measurements; and (4) applies these techniques to confidently identify the GNSS interference source as a constellation of Russian early warning satellites in Molniya ("lightning") orbits.
Comments: Submitted for review to the Institute of Navigation journal NAVIGATION
Subjects: Signal Processing (eess.SP)
Cite as: arXiv:2606.03673 [eess.SP]
  (or arXiv:2606.03673v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2606.03673
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Todd Humphreys [view email]
[v1] Tue, 2 Jun 2026 13:57:43 UTC (2,828 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled Chasing Lightning: Detecting, Characterizing, and Identifying a Powerful Space-Based GNSS Interference Source, by Zachary L. Clements and Argyris Kriezis and Todd E. Humphreys
  • View PDF
  • HTML (experimental)
  • TeX Source

Current browse context:

eess.SP
< prev   |   next >
Change to browse by:

References & Citations

Loading...

BibTeX formatted citation

loading...
Data provided by:

Bookmark

BibSonomy Reddit
Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos

Demos

Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers

Recommenders and Search Tools

Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Discussion (0)

Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.

Sign in →

No comments yet. Sign in and be the first to say something.

More from Hacker News — AI on Front Page