Jamming detection for Iridium LEO satellite-IoT links using autoencoders
Original title: Cloudy Skies: Early Detection of Jamming Against Iridium LEO Satellite-IoT Links
Autoencoders detect jamming via noise-floor rise on physical-layer signals with AUC 0.84, outperforming C/N0 and SNR estimators.
LEO satellite-IoT links vulnerable to radio-frequency jamming. Dataset of 47 jamming conditions collected across static/mobile receivers. One-class autoencoder detectors on 1000-sample physical-layer chunks reach AUC 0.84 when noise floor rises 9 dB. Signal-quality estimators fail as correctly decoded messages retain high SNR.
- Detectability governed by receiver noise-floor rise
- Autoencoders use 40 ms chunks
- Timely detection before complete link failure
- Dataset publicly released for 47 jamming conditions
Impact: radio-frequency jamming on LEO satellite-IoT links
From the original article
1 min read at arxiv.orgLow Earth Orbit (LEO) satellite-IoT systems increasingly provide connectivity to mobile assets in remote areas, which makes their resilience to radio-frequency jamming a growing concern. Timely jamming detection, i. e.
By Ingrid Huso · arxiv.org
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