I see you: On Neural Networks for Indoor Geolocation

We propose a new passive system for indoor localization of mobile nodes. After the setup, our system only relies on arbitrary wireless communication from the nodes, whereby neither the mobile nodes nor the communication needs to be under our control. The presented system is composed of three Artificial Neural Networks (ANN) using a radiomap approach and the Received Signal Strength (RSS) for localization. A Probabilistic Neural Network (PNN) decides between two Generalized Regression Neural Networks (GRNN) that process the actual RSS measurement. In practical experiments we achieve a mean location error of 0.58m which is 22.64% better than a single GRNN approach in our setup.