Method, device for detecting unmanned aerial vehicle, equipment and storage medium

Abstract

The invention provides a method, a device for detecting unmanned aerial vehicles, equipment and a storage medium The time interval between two detections of an important frequency band can be shortened, the method comprises the following steps that the unmanned aerial vehicles communicating under all sub-frequency bands in a designated frequency band list are detected in sequence, the designated frequency band list comprises M first sub-frequency bands and K second sub-frequency bands, the first sub-frequency bands are formed by dividing target frequency bands used for unmanned aerial vehiclecommunication, wherein each second sub-frequency band is the same as one of the first sub-frequency bands in the specified band list, M is greater than 1, and K is greater than or equal to 1; the newsecond sub-frequency bands are determined from the first sub-frequency bands based on the detected number of the unmanned aerial vehicles communicating under each first sub-frequency band when the detection of the unmanned aerial vehicles communicating under the each sub-frequency band in the specified frequency band list of the round is completed; and the second sub-frequency bands in the specified frequency band list is updated to the new second sub-frequency bands, and the step of detecting the unmanned aerial vehicles communicating under the each sub-frequency band in the specified frequency band list in sequence is returned.

Description

technical field [0001] The present invention relates to the technical field of detection, in particular to a method, device and equipment for detecting drones, and a storage medium. Background technique [0002] In recent years, the UAV market has been booming. With the advantages of standing high, seeing far, flying fast, traveling without obstacles, adaptable, and easy to modify, it has quickly gained favor in the civilian field. However, there are also more and more drones being used illegally, for example, drones can smuggle drugs, drones can spy on privacy / technology, drones can affect civil aviation-close to collision, drones may It will appear in sensitive areas, key locations and government facilities, etc., which will bring hidden dangers to public safety, and the public has become increasingly aware of the possible harm caused by drones. Therefore, it is necessary to detect UAVs to obtain relevant information, such as the whereabouts of UAVs. [0003] Due to the ...

AI Technical Summary

Problems solved by technology

[0003]Due to the different models of drones, the wireless communication frequency range is wide, distributed in 0-6GHz (hereinafter referred to as the full frequency band), for example, there is a 2.4G frequency band (frequency Range such as 2.4GHz-2.5GHz), 5.8G frequency band (frequency range such as 5.725GHz-5.850GHz), etc., and the cost of detection equipment is limited, so it is impossible to implement full-frequency detection

[0004]In the relevant detection methods, it is necessary to segment the target frequency band used for UAV communication, and then sequentially analyze the UAV communication in the sub-band obtained by segmenting The man-machine detects, and then repeats the next round of detection after one round of detection is completed. For each sub-band, after a detection is completed, it has to wait for a whole round of detection time (the total time of detection under all sub-frequency bands), The time interval between two detections is too long, which affects the validity of detection results

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