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Unmanned aerial vehicle trajectory planning method combining artificial interference and ESN-PSO

A technology of artificial interference and trajectory planning, which is applied in the field of UAV communication, can solve problems such as unusability, failure to realize system performance, and inability to fully understand environmental information, so as to achieve the effect of improving security and reducing the rate of eavesdropping

Pending Publication Date: 2021-05-28
DALIAN UNIV
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Problems solved by technology

[0003] Facing the safety of UAV communication, the existing research on UAV trajectory planning methods has indeed played a positive role in anti-jamming, such as the continuous hovering flight trajectory of UAVs, but UAVs have various Conditional constraints, such as time constraints, system performance requirements

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  • Unmanned aerial vehicle trajectory planning method combining artificial interference and ESN-PSO
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  • Unmanned aerial vehicle trajectory planning method combining artificial interference and ESN-PSO

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Embodiment 1

[0115] In order to adapt to the dynamics of the environment and improve the security of the system, in the UAV ground-to-ground communication system where there is an eavesdropper on the ground, the present invention proposes a UAV trajectory planning method combining artificial interference and ESN-PSO. This method first constructs the UAV-to-ground communication system, defines the eavesdropping rate, and proposes optimization goals. In the absence of artificial interference, the basic information of the system is used as the input of the echo state network to calculate the eavesdropping rate, and then the particle swarm optimization algorithm is used to optimize the parameters of the echo state network, and the ESN-PSO UAV trajectory prediction model is established; Secondly, consider the artificial interference of the ground node closest to the eavesdropper, reconstruct the UAV ground communication system, and combine the artificial interference with the ESN-PSO UAV traject...

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Abstract

The invention discloses an unmanned aerial vehicle trajectory planning method combining artificial interference and ESN-PSO. The method comprises the steps: building an unmanned aerial vehicle ground communication system model under the condition that an eavesdropper exists on the ground, defining the eavesdropped rate of the system, and taking the eavesdropped rate as an optimization target; constructing an echo state network, and predicting the track of an unmanned aerial vehicle by using the echo state network; optimizing parameters of the echo state network by using a particle swarm algorithm, and establishing an ESO-PSO unmanned aerial vehicle trajectory prediction model; and enabling the ground node closest to the eavesdropper to send artificial noise to interfere with the eavesdropper, and re-establishing the unmanned aerial vehicle ground communication system model. According to the invention, the unmanned aerial vehicle trajectory is predicted through the artificial noise in combination with the ESO-PSO unmanned aerial vehicle trajectory prediction model, so that the eavesdropping rate is reduced, and the safety of the system is improved.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle communication, in particular to an unmanned aerial vehicle trajectory planning method combining artificial interference and ESN-PSO. Background technique [0002] Due to the advantages of UAV's mobility, low cost and on-demand deployment, UAV has been widely used in wireless communication. Compared with traditional ground communication systems, the wireless signals sent and received by drones are likely to be eavesdropped by eavesdroppers, which brings great security problems to drone communications. Due to the openness of wireless communication channels, how to ensure the transmission of confidential information against intentional or unintentional eavesdropping is an important issue. At present, in the case of eavesdroppers on the ground, how to ensure the security of UAV communication in the UAV-to-ground communication system has become a research hotspot. [0003] Facing the safety of ...

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Application Information

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IPC IPC(8): G05D1/10
CPCG05D1/101
Inventor 冯建新张敬泽栾帅帅丁元明刘治国方辉
Owner DALIAN UNIV