The shaft-rate electric field controlling method based on RBF neural network

The shaft-rate(SR) electric field is an important target of the ship at a very low frequency in the marine environment. To protect our ships from being attacked by SR electric field fuze weapon or detected by other equipments, the signal characteristic must be controlled. Based on analysis of SR electric field, an effectual way of weakening the SR electric field signal is presented. First, a RBF neural network prediction model is set up, after values predicted by the model are obtained, a reverse current whose magnitude is the same as the predicting value is exported to weaken the SR electric field signal. The simulation result shows that the method could control the signal characteristic effectively.