Novel artificial noise generation and suppression method for unmanned aerial vehicle networking
Wireless communication faces the risk of eavesdropping due to the natural characteristics of the broadcast channel.Aiming at the physical layer security of the unmanned aerial vehicle(UAV)networks,and considering that UAV platforms are limited in signal processing capability due to their limited size and power consumption,a novel artificial noise(AN)generation and suppression method adapted to UAV platforms is proposed.The transmitter takes the desired signal as a reference,and uses the phase information of the symbols in the past signal segments to construct the multiplicative artificial noise of the current signal segment.And the past signal segments are superimposed with different weights to construct the additive artificial noise of the current signal segment.The artificial noise is suppressed at the authorized receiver by phase compensation and differential operation.The two artificial noises can be designed either jointly or independently,and the appropriate AN waveforms are selected according to channel environments.Theoretical analysis and simulation show that the method has a low algorithm complexity,and that it can effectively deteriorate the signal-to-noise ratio of the eavesdropping channel,improve the security capacity of the system,and enhance the physical layer security.This method can also be applied to other large-scale networking systems whose nodes are limited in signal processing capacity and provide a means of secure transmission at the physical layer.
万方数据
维普
