One-shot generative distribution matching for augmented RF-based UAV identification

This work addresses the challenge of identifying Unmanned Aerial Vehicles (UAV) using radiofrequency (RF) fingerprinting in limited RF environments. The complexity and variability of RF signals, influenced by environmental interference and hardware imperfections, often render traditional RF-based id...

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Bibliographic Details

Published in:	Machine learning with applications Vol. 20; p. 100638
Main Authors:	Kazemi, Amir, Basiri, Salar, Kindratenko, Volodymyr, Salapaka, Srinivasa
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2025 Elsevier
Subjects:	Data Augmentation Extrapolation Low-data regimes Synthetic data Wasserstein metric Extrapolation Data Augmentation Low-data regimes Wasserstein metric Synthetic data
ISSN:	2666-8270, 2666-8270
Online Access:	Get full text
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