Association of emitter and emission using deep learning

摘要

A method for using deep neural networks (DNN) to perform RF emitter localization is presented. The localization is performed using a DNN to perform dual modality sensor fusion to associate observed RF emissions and detected potential RF emitters. A synthetic dataset is presented as a means of evaluating the validity of the approach in a simplified setting.