7 papers
Generative Adversarial Reconstruction with Adaptive Thresholding for Obstructed Targets in Computational Microwave Imaging
Jiaming Zhang, Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi +3
In this work, an end-to-end generative adversarial framework for computational microwave imaging (CMI) is proposed to reconstruct the targets of interest directly from the measurem…
Computational Microwave Imaging Relying on Orbital Angular Momentum Transmitarrays for Improved Diversity
Miguel Angel Balmaseda-Marquez, Guillermo Ãlvarez-Narciandi, MarÃa GarcÃa-Fernández +3
This work proposes the use of orbital angular momentum (OAM) waves to improve the performance of a computational imaging (CI) system. Specifically, in contrast to a solely frequenc…
Metasurfaces-Enabled Wave Computing for Future Wireless Systems: Opportunities and Challenges
Zahra Rahimian Omam, Hamidreza Taghvaee, Ali Araghi +5
The next generations of wireless networks are envisioned to integrate communications, sensing, and computing into a unified platform, demanding ultra-high data rates, submillisecon…
Design of Rectangular Waveguide-fed Metasurfaces for Near-Field Shaping using a Coupled Dipole Model
Insang Yoo, Dong Hwan Min, Thomas Fromenteze +1
We present the design of rectangular waveguide-excited metasurfaces for near-field shaping using a coupled dipole framework. Waveguide-fed metasurfaces are array-like radiating sys…
Adversarial Learning-Based Radio Map Reconstruction for Fingerprinting Localization
Jiaming Zhang, Jiajun He, Tianyu Lu +2
This letter presents a feature-guided adversarial framework, namely ComGAN, which is designed to reconstruct an incomplete fingerprint database by inferring missing received signal…
FinGAN: An Interpretable RSS Generation Network for Scalable Fingerprint Localization
Jiaming Zhang, Jiajun He, Jie Zhang +1
This work introduces FinGAN, a robust received signal strength (RSS) data generator designed to expand RSS fingerprint datasets. Compared to existing generative adversarial models…