Jammer classification with federated learning
Jamming signals can jeopardize the operation of GNSS receivers until deying its operation.
Given their ubiquity, jamming mitigation and localization techniques are of crucial …
Given their ubiquity, jamming mitigation and localization techniques are of crucial …
TSFANet: Temporal-Spatial Feature Aggregation Network for GNSS Jamming Recognition
Malicious jamming attacks have a destructive effect on global navigation satellite system
(GNSS) receivers and even make them lose lock. Jamming recognition can raise an alarm …
(GNSS) receivers and even make them lose lock. Jamming recognition can raise an alarm …
LJCD-Net: Cross-Domain Jamming Generalization Diagnostic Network Based on Deep Adversarial Transfer
Z Zhang, Z Deng, J Liu, Z Ding, B Liu - Sensors, 2024 - mdpi.com
Global Navigation Satellite Systems (GNSS) offer comprehensive position, navigation, and
timing (PNT) estimates worldwide. Given the growing demand for reliable location …
timing (PNT) estimates worldwide. Given the growing demand for reliable location …
Federated learning-enabled jamming detection for stochastic terrestrial and non-terrestrial networks
In this paper, we present a novel federated learning (FL) algorithm, named Aggregated and
Augmented Training Federated (AAT-Fed), tailored for stochastic, distributed, tactical …
Augmented Training Federated (AAT-Fed), tailored for stochastic, distributed, tactical …
Participatory sensing for localization of a GNSS jammer
GK Olsson, E Axell, EG Larsson… - … on Localization and …, 2022 - ieeexplore.ieee.org
GNSS receivers are vulnerable to jamming and spoofing attacks, and numerous such
incidents have been reported worldwide in the last decade. It is important to detect attacks …
incidents have been reported worldwide in the last decade. It is important to detect attacks …
Unsupervised Disentanglement for PostIdentification of GNSS Interference in the Wild
D Jdidi, T Brieger, T Feigl, DC Franco, J Merwe… - Proceedings of the 35th …, 2022 - ion.org
Interference signals (ie, jammers) affect the processing chain of global navigation satellite
system (GNSS) receivers, affecting or disrupting their accuracy. State-of-the-art supervised …
system (GNSS) receivers, affecting or disrupting their accuracy. State-of-the-art supervised …
Low power selective denial of service attacks against GNSS
The GNSS signal received power lies below the thermal noise and a correlation with the
known spreading sequence is needed in order to recover it. The use of GNSS for tracking …
known spreading sequence is needed in order to recover it. The use of GNSS for tracking …
Deep Learning Approach for GNSS Jamming Detection Based PCA and Bayesian Optimization Feature Selection Algorithm
A Reda, T Mekkawy, TA Tsiftsis… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In Global Navigation Satellite Systems (GNSS), receivers are susceptible to various types of
jammers. Detecting these jammers is crucial for developing effective anti-jamming …
jammers. Detecting these jammers is crucial for developing effective anti-jamming …
Disruptive GNSS signal detection and classification at different power levels using advanced deep-learning approach
Although the Global Navigation Satellite System (GNSS) technology provides an excellent
benefit in different critical areas such as civilian, aviation, military, and commercial …
benefit in different critical areas such as civilian, aviation, military, and commercial …
A CNN-Based Adaptive Federated Learning Approach for Communication Jamming Recognition
N Zhang, Y Li, Y Shi, J Shen - Electronics, 2023 - mdpi.com
The effective and accurate recognition of communication jamming is crucial for enhancing
the anti-jamming capability of wireless communication systems. At present, a significant …
the anti-jamming capability of wireless communication systems. At present, a significant …