4 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…
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…
Integrated Image Reconstruction and Target Recognition based on Deep Learning Technique
Cien Zhang, Jiaming Zhang, Jiajun He +1
Computational microwave imaging (CMI) has gained attention as an alternative technique for conventional microwave imaging techniques, addressing their limitations such as hardware-…