Document Type
Article
Department/Program
Applied Science
Journal Title
IEEE Access
Pub Date
7-2023
Publisher
IEEE
Volume
11
First Page
68051
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
We model the propagation of SHF OFDM signals around vehicles and buildings since these are the most common elements present in urban environments that could lead to complex radio frequency signal scattering. Scenarios involving temporary hidden node situations, which we term transient occlusion events, are simulated and compared to scenarios where a line of sight transmission event occurs. Sets of fingerprints generated from signals recorded in full-wave 3D finite difference time domain simulations of these two different types of situations are compared, and features in the fingerprints corresponding to the occlusion of a transmitted signal by a vehicle or a building are identified. The features we identify in the sets of fingerprints have promise to be used with machine learning algorithms to automate the detection of hidden nodes and to provide an understanding of node behavior in an environment. When combined with knowledge of the existence of scatterers such as vehicles and buildings in the immediate neighborhood of a device, this information can be exploited to determine the likelihood of obstructed vs. concluded transmissions for both civilian and military applications.
Recommended Citation
Rooney, Margaret M. and Hinders, Mark, Identification of Transient Radio Frequency Occlusion Events in Urban Environments (2023). IEEE Access, 11, 68051-68065.
https://www.doi.org/10.1109/ACCESS.2023.3292343
DOI
https://www.doi.org/10.1109/ACCESS.2023.3292343
