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Displaying 1 - 7 of 7

Effective Radar Cross Section in Close-Range Joint Communication and Sensing Applications

July 14, 2025
Author(s)
Steve Blandino, Jelena Senic, Neeraj Varshney, Jihoon Bang, Jack Chuang, Samuel Berweger, Jian Wang, Camillo Gentile, Nada Golmie
Radar Cross Section (RCS) is traditionally mea- sured under far-field conditions where targets are fully illumi- nated by the antenna beam. However, in close-range scenarios, such as those encountered in Joint Communication and Sensing (JCAS) systems, the

Digital-Twin-Assisted Clustering of Radio-Frequency Multipath Components

June 26, 2025
Author(s)
Anuraag Bodi, Jihoon Bang, Neeraj Varshney, Samuel Berweger, Chiehping Lai, Jelena Senic, Jack Chuang, Camillo Gentile
Clustering radio-frequency (RF) multipath components (MPCs) fosters compact channel models by capturing the geometry of the scattering environment, yet "blind" methods based solely on RF data struggle to associate MPCs with individual scatterers. We

Measuring the RCS of Multipoint-Scattering Targets in JCAS Channel Sounding

May 25, 2025
Author(s)
Camillo Gentile, Jack Chuang, Steve Blandino, Jelena Senic, Jihoon Bang, Samuel Berweger
This paper presents a methodology for measuring the radar cross-section (RCS) of a target that scatters power from multiple points on its surface, in the context of joint communication and sensing (JCAS). By leveraging the fine resolution of millimeter

AI-Based Environment Segmentation Using a Context-Aware Channel Sounder

April 26, 2024
Author(s)
Anuraag Bodi, Samuel Berweger, Raied Caromi, Jihoon Bang, Jelena Senic, Camillo Gentile
We describe how the data acquired from the camera and Lidar systems of our context-aware radio-frequency (RF) channel sounder is used to reconstruct a 3D mesh of the surrounding environment, segmented and classified into discrete objects. First, the images
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