Feb. 16, 2024, 5:42 a.m. | Sivaram Krishnan, Jihong Park, Gregory Sherman, Benjamin Campbell, Jinho Choi

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09426v1 Announce Type: cross
Abstract: Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. However, the use of Unmanned Aerial Vehicles (UAVs) introduces a challenge, as UAVs can detect RF signals from the ground by hovering over specific areas of interest. With the growing utilization of UAVs in modern surveillance, there is a crucial need for a thorough understanding of their unknown nonlinear …

abstract aerial arxiv autoencoder beyond challenge communication cs.lg cs.sy detection eess.sp eess.sy graph low predictive probability radio surveillance type unmanned aerial vehicles vehicles

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Sr. Software Development Manager, AWS Neuron Machine Learning Distributed Training

@ Amazon.com | Cupertino, California, USA