A Residual Neural Network Approach to Transmitter Localization

TxLocNet is an innovative deep learning approach for wireless transmitter localization using signal strength measurements collected along the border of an area of interest. The project leverages a Residual Neural Network (ResNet) to predict transmitter locations with high accuracy in complex urban environments.