Unmanned aerial vehicle communication anti-interference method based on three-dimensional trajectory power optimization

Abstract

The invention provides an unmanned aerial vehicle communication anti-interference method based on three-dimensional trajectory power optimization. The method comprises the steps: constructing a channel model according to communication characteristics of the unmanned aerial vehicle, constructing constraint conditions of the unmanned aerial vehicle according to an actual application environment, and taking a weighted difference between an average throughput which can be realized by the unmanned aerial vehicle and an average interference area brought by the unmanned aerial vehicle as an original objective function, so that the effective anti-interference communication capability of the unmanned aerial vehicle is represented; and obtaining a good suboptimal solution of the flight path and the transmitting power of the unmanned aerial vehicle by maximizing the lower bound of an original objective function by using a block coordinate descent algorithm and a continuous convex approximation algorithm. According to the method, the balance between the anti-interference communication capability of the unmanned aerial vehicle and the interference generated by the unmanned aerial vehicle, which is not considered in the existing research, is considered, a reasonable mathematical model is designed to represent the balance, and finally, compared with independent track control or power control, the method provided by the invention has higher performance.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle anti-interference communication, and in particular relates to an anti-interference method for unmanned aerial vehicle communication based on three-dimensional trajectory power optimization. Background technique [0002] In recent years, with the development of various UAV technologies, the application of UAVs in the field of wireless communication has received more and more attention from researchers. On the one hand, drones can be used as aerial base stations to supplement existing cellular base stations, providing additional data capacity in remote areas, hotspots, and post-disaster areas. On the other hand, another important use of drones is to access existing networks as air users to perform tasks such as data collection and monitoring. As a user, UAVs have three significant advantages in accessing existing ground networks: First, the channel characteristics between UAVs and ground base...

AI Technical Summary

Problems solved by technology

However, these measures will undoubtedly affect other existing ground equipment, causing unnecessary interference to them

And in most cases, the UAV only knows the location of the ground base station that communicates with itself and does not know the location of other ground equipment on the flight path, so it is not realistic to specifically reduce the interference of the UAV to a specific ground equipment

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