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 identification methods ineffective. https://www.patsyrenzart.com/product-category/womens-apparel/
One-shot generative distribution matching for augmented RF-based UAV identification
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