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A method for identifying drones

An identification method and UAV technology, applied in the field of UAV identification, can solve problems such as large clutter influence, poor monitoring effect, and inability to find target objects, and achieve the effect of improving recognition accuracy and detection distance.

Active Publication Date: 2020-12-15
无锡若飞科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

However, since the UAV is a low, small and slow target, the radar may not be able to detect the target object when the monitoring distance is short. In addition, the clutter in the urban environment is greatly affected, and it is also easily affected by various objects such as birds, buildings, and terrain. lead to poor monitoring

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Embodiment Construction

[0024] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0025] Please refer to figure 1 , which shows a flowchart of a method for identifying an unmanned aerial vehicle provided by an embodiment of the present invention. The UAV identification method is suitable for the UAV identification system. like figure 1 As shown, the UAV identification method may include the following steps:

[0026] In step 101, P groups of UAV sample data are obtained.

[0027] Each group of UAV sample data corresponds to one type of UAV, and P is a positive integer.

[0028] Before using the system to automatically identify whether the target corresponding to the unknown wireless signal is a UAV, it is necessary to manually obtain the sample data of the UAV of the known model, and then put the obtained sample data in...

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PUM

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Abstract

The invention discloses an unmanned aerial vehicle recognition method, and belongs to the radio monitoring field. The method comprises the steps that P groups of unmanned aerial vehicle sample data are acquired, wherein each group of unmanned aerial vehicle sample data corresponds to one model of unmanned aerial vehicle, and P is a positive integer; wireless signals are received; the wireless signals are subjected to discrete correlation operation with the unmanned aerial vehicle sample data to obtain discrete correlation results; whether or not the discrete correlation results are greater than threshold values corresponding to the unmanned aerial vehicle sample data; and if it is detected that the discrete correlation results are greater than the threshold values, it is confirmed that targets corresponding to the wireless signals are unmanned aerial vehicles. Accordingly, the problem that the recognition accuracy of the unmanned aerial vehicle signals is low is solved, and the advantages of increasing the recognition accuracy degree of the unmanned aerial vehicles and the detection distance are achieved.

Description

technical field [0001] The embodiments of the present invention relate to the field of radio monitoring, and in particular, to a method for identifying an unmanned aerial vehicle. Background technique [0002] With the development of UAV technology, the number of UAVs is also increasing. Today's UAVs generally have the characteristics of small size, low noise, and simple operation. [0003] Although drones bring convenience to users in high-altitude shooting, aerial mounting, etc., the "black flying" of drones has caused many serious consequences to social and public safety. Various rules and regulations for drones are in It is difficult to play a practical role before the "black flight" of drones has problems, and corresponding technical means are needed to identify and detect drones. [0004] In related technologies, radar, photoelectric technology, radio monitoring technology and other means are used to identify drones. When radar technology is used to identify drones, r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/88G06F17/15
CPCG01S13/88G06F17/15
Inventor 刘超龙玉莎
Owner 无锡若飞科技有限公司
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