The Electric Field Controlling Method Based on GM (1,1) RBF Neural Network

To avoid detection or attack, electric field signal characteristic of ships should be controlled. The signal data is decomposed into low frequency component and high frequency component first. The high frequency component is predicted by RBF neural network, the low frequency component is predicted by GM(1,1) model and add up both of the values predicted. Then countercurrent is exported and then the electric signal is weakened. Based on the data got from sea, the simulations show that 70% of shaft-rate (SR) signal amplitude would be weakened by this method, and static electric field signal is almost eliminated at all.