THESIS
2023
1 online resource (x, 51 pages) : color illustrations
Abstract
This thesis focuses on the development and evaluation of a novel RF imaging system that utilizes received RF signals for real-time and accurate image reconstruction. Unlike traditional imaging technologies that rely on capturing visible light, RF imaging operates by analyzing signal propagation within an environment, offering the unique advantage of seeing through obstacles and enabling monitoring applications.
The proliferation of wireless network devices in indoor environments has paved the way for leveraging the abundance of wireless data to image and analyze environments. This thesis presents a detailed exploration of the RF imaging system, specifically implementing the extended phaseless Rytov approximation for low-loss media (xPRA-LM) algorithm. The xPRA-LM algorithm enables the...[
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This thesis focuses on the development and evaluation of a novel RF imaging system that utilizes received RF signals for real-time and accurate image reconstruction. Unlike traditional imaging technologies that rely on capturing visible light, RF imaging operates by analyzing signal propagation within an environment, offering the unique advantage of seeing through obstacles and enabling monitoring applications.
The proliferation of wireless network devices in indoor environments has paved the way for leveraging the abundance of wireless data to image and analyze environments. This thesis presents a detailed exploration of the RF imaging system, specifically implementing the extended phaseless Rytov approximation for low-loss media (xPRA-LM) algorithm. The xPRA-LM algorithm enables the reconstruction of images with permittivity distributions, providing valuable insights into object characteristics.
The proposed RF imaging system, powered by FPGA-based transceivers, demonstrates its capability to accurately reconstruct images and visualize the results in real-time. Through comprehensive experiments and evaluations, the system's effectiveness in capturing object characteristics within the imaged environment is illustrated.
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