Device and method for rapid detection and identification of unmanned aerial vehicle

Abstract

The invention discloses a method for rapid detection and identification of an unmanned aerial vehicle. The method comprises the following steps: 1) signal collection; 2) time-frequency analysis; 3) query of a maximum value and coordinates; 4) coordinate point conversion; 5) threshold judgment; 6) differential processing; 7) feature extraction; 8) establishment of a database; 9) detection and identification of a single frequency band in a library; 10) detection and identification of the single frequency band at the outside of the library; and 11) full-band detection and identification. The invention further discloses a device for rapid detection and identification of the unmanned aerial vehicle. The device is low in power consumption, free of radio frequency pollution, low in cost, convenient to assemble, and good in practicability. The method is simple to operate and can be used for completing the effective detection and identification of low, slow and small unmanned aerial vehicles for civilian use, and a foundation is provided for the reasonable and regular management of the unmanned aerial vehicles.

Description

technical field [0001] The invention relates to the field of radio technology and signal processing, in particular to a device and method for rapid detection and identification of unmanned aerial vehicles. Background technique [0002] With the popularity of civilian drones, it has brought a lot of convenience to our lives. At the same time, it has also brought a series of problems, such as the phenomenon of "black flying" of drones, which has caused many bad effects on social security. , so many researchers have proposed various methods to detect and identify UAVs. The radio spectrum detection method is one of the more effective detection methods, but the UAV signal often exists in a complex electromagnetic environment, so it is difficult to detect and identify the UAV signal by using the radio spectrum detection method. [0003] At present, most methods of detecting and identifying UAVs using spectrum detection are complex and not conducive to the realization of actual pr...

AI Technical Summary

Problems solved by technology

[0002] With the popularity of civilian drones, it has brought a lot of convenience to our lives. At the same time, it has also brought a series of problems, such as the phenomenon of "black flying" of drones, which has caused many bad effects on social security. , so many researchers have proposed various methods to detect and identify UAVs

The radio spectrum detection method is one of the more effective detection methods, but the UAV signal often exists in a complex electromagnetic environment, so it is difficult to detect and identify the UAV signal by using the radio spectrum detection method

[0003] At present, most methods of detecting and identifying UAVs using spectrum detection are relatively complicated and not conducive to the realization of actual products, and have little engineering practical value.

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