Cognition-based deceptive anti-interference method and device in unmanned aerial vehicle network

Abstract

The embodiment of the present application provides a cognition-based deceptive anti-interference method and device in an unmanned aerial vehicle network and belongs to the technical field of wirelesscommunications. The method comprises the following steps: determining whether data transmission exists in the progress of a first unmanned aerial vehicle in the unmanned aerial vehicle network, and whether the data transmission is interfered by a first interference signal; if both the determination results are yes, obtaining a network parameter of the unmanned aerial vehicle network; determining an optimal spoofing channel according to the network parameter and a pre-stored spoofing channel selection algorithm; determining an optimal spoofing revenue power according to the network parameter and a pre-stored spoofing power allocation policy; if the optimal spoofing revenue power is greater than a preset revenue threshold, sending the pre-stored spoofing signal through the optimal spoofing channel based on the optimal spoofing revenue power, to a second unmanned aerial vehicle in the unmanned aerial vehicle network for receiving the acquired data corresponding to the data transmission. By adoption of the cognition-based deceptive anti-interference method and device in the unmanned aerial vehicle network in the invention, the anti-interference effect of the unmanned aerial vehicle canbe improved.

Description

technical field [0001] The present application relates to the technical field of wireless communication, in particular to a cognition-based deceptive anti-jamming method and device in an unmanned aerial vehicle network. Background technique [0002] Due to the advantages of high mobility, low cost, and no risk of casualties, UAVs have broad application prospects in civilian and military fields. The fly in the ointment is that the UAV network is easily threatened by external electromagnetic interference, resulting in communication stability. Not good, the communication efficiency is not high. Therefore, UAV anti-jamming technology, as a research hotspot, has received extensive attention from scholars at home and abroad. [0003] Traditional UAV anti-jamming methods include frequency hopping method and transmission power allocation method. The specific process of using the transmission power allocation method for anti-jamming includes: the first UAV in the UAV network uses a...

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Problems solved by technology

[0004] However, when the maximum available signal transmission power of the first UAV is not enough to meet the required signal transmission power requirements, or the interference signal received by the first UAV has not been weakened, resulting in the network environment where the first UAV is located. When the transmission power allocation method remains unchanged, effective information transmission cannot be achieved, and the anti-jamming effect of the UAV is poor

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