Unmanned aerial vehicle detection method and system based on radio frequency spectrum identification, and storage medium

Abstract

The invention provides an unmanned aerial vehicle detection method and system based on radio frequency spectrum identification and a storage medium, and the method comprises the steps: monitoring a radio signal in real time through employing a radio detection device, searching information messages related to a suspicious radio signal if the suspicious radio signal exists, and corresponding to an original publishing unit of each information message, and the forwarding quantity of each piece of information message, inquiring according to the issuing unit authority level list to obtain authority levels of all original issuing units; performing neural network semantic analysis on each piece of information, and determining the category of the suspicious radio signal fed back by each piece of information; and obtaining a final judgment result according to the affirmed category of the suspicious radio signal by integrating all the information messages, determining whether the unmanned aerial vehicle is a forbidden unmanned aerial vehicle or not according to the judgment result, and performing management and control measures on the forbidden unmanned aerial vehicle. According to the invention, the effect of automatically and accurately judging the communication signal of the disabled unmanned aerial vehicle is realized.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a method, system and storage medium for detecting unmanned aerial vehicles based on radio frequency spectrum identification. Background technique [0002] At present, with the gradual maturity of drone technology and the reduction of manufacturing costs and entry barriers, the consumer drone market has exploded, while the civilian drone market is on the eve of explosion. The country has not formed an authoritative technical quality standard for civilian drones, which has virtually lowered the competition threshold and performance guarantee for domestic civilian drones. For some drone users, due to the unclear take-off approval, the drone is forced to fall into the embarrassing situation of "black flight". With the rapid development of the civilian UAV market, the demand for urban low-altitude defense systems is becoming more and more urgent. [0003] In order t...

AI Technical Summary

Problems solved by technology

However, after the UAV communication signal is detected, it is usually judged by the administrator whether it is prohibited, and in the judgment process, too many human factors will also affect the accuracy of the judgment. Based on this, the existing scheme is difficult to realize automation Accurately determine the effect of disabling UAV communication signals

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