Unmanned aerial vehicle anti-interference method combining trajectory planning and spectrum decision

Abstract

The invention discloses an unmanned aerial vehicle anti-interference method combining trajectory planning and spectrum decision. The method comprises the steps that S1, performing modeling on the lossand optimization problem of an unmanned aerial vehicle user for an actual communication scene; S2, dividing the optimization problem into two aspects: trajectory planning and spectrum decision; firstly, using a convex optimization solving method for planning a track of an unmanned aerial vehicle user, then molding a frequency spectrum decision problem into a Stackelberg game, carrying out balanced solving by hierarchical learning, and finally achieving joint optimization of the track and the frequency spectrum. The two dimensions of trajectory optimization and frequency use decision can be jointly optimized, the anti-interference target of the unmanned aerial vehicle user is achieved, the communication benefit of the unmanned aerial vehicle is further improved, and the unmanned aerial vehicle user can efficiently complete the target communication task under the condition that the flight energy consumption is limited.

Description

technical field [0001] The invention relates to the technical field of military communication countermeasures, in particular to an unmanned aerial vehicle anti-jamming method for joint trajectory planning and spectrum decision-making. Background technique [0002] Under the background of contemporary unmanned aerial vehicle cluster operations, unmanned aerial vehicles have been developed rapidly and are widely used in communication, reconnaissance, information collection and other fields. The artificially set task needs to be moved to meet the communication needs in specific scenarios. [0003] At the same time, drones also have certain drawbacks. Due to the limited load capacity of a single UAV, its flight capability is poor and the data processing equipment it carries is insufficient. Therefore, under normal circumstances, a group of drones are required to act together to complete the task, and are divided into host and wingman according to actual needs. When the host is...

AI Technical Summary

Problems solved by technology

For the trajectory optimization problem, there have been related researches before, but there are still some problems: (1) the internal interference problem of the UAV caused by too close distance; (2) the frequency conversion of the strong ground jammer leads to the trajectory optimization must be segmented (3) The execution time of the UAV flight mission is limited, and it must be from the starting point to the end point within a limited time. Therefore, the trajectory design of each segment cannot be independent. It is necessary to consider whether the follow-up UAV can fly to the end point within a limited time.

[0006] At present, there is no existing literature revealing how to combine the two schemes of trajectory planning and spectrum decision-making to optimize the anti-jamming of UAVs. The anti-jamming principles of the aforementioned two schemes are completely different. problem to be solved

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