Regressive Convolutional Neural Network for ARTVA detection
Bruno Strano, Lorenzo Marconi · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2021
In Search and Rescue operations signal detection is an essential feature, especially when drones are involved and technologies like ARTVA are used. This study introduces a new method of ARTVA signal detection via regressive convolutional neural network. The network takes the signal of the 3 axis of the antenna and the altitude of the quadrotor and outputs the estimate of the distances between transmitter and receiver. The results encourage an online