METHOD FOR PASSIVELY LOCATING TRANSMITTERS BY MEANS OF TIME DIFFERENCE OF ARRIVAL (TDOA)

摘要

The method uses an overall neural network (700, 73, 75) of Siamese type composed of two neural networks, called α networks, having the same weights and a third neural network, called the β network, receiving the data output from said α networks as input: - a first α network arranged on a first platform, encoding the signals from said transmitter via a set of parameters and transmitting said parameters to said β network; - the second α network being arranged on the second platform, encoding the signals from said transmitter via a set of parameters and transmitting said parameters to said β network; said β network being trained to calculate the TDOA on the basis of said parameters received from said α networks, said overall network being trained on the basis of a set of models of signals likely to be encountered.