Image Reconstruction Using Radio Tomography and Artificial Intelligence in Tracking and Navigation Systems for Indoor Applications

This thesis focuses on the technology for acquiring and processing localization data within the radio tomographic imaging technique supported by neural networks. The scope of work included both proprietary hardware solutions and computational algorithms. The result was a fully functional and self-contained system detecting living agents in confined spaces. Doing so does not require any signal source device located at the user.