Unmanned aerial vehicle signal recognition method and device, electronic equipment and storage medium

A signal recognition and unmanned aerial vehicle technology, applied in the direction of character and pattern recognition, computer parts, instruments, etc., can solve the problems that single or multiple features are susceptible to noise and interference, and the accuracy of recognition is low, so as to avoid independent Effects of extraction, improved accuracy, and high recognition accuracy
CN110688959APending Publication Date: 2020-01-14SHANGHAI TERJIN INFORMATION TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI TERJIN INFORMATION TECH CO LTD
Publication Date
2020-01-14

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Abstract

The invention provides an unmanned aerial vehicle signal recognition method and device, electronic equipment, a storage medium and an unmanned aerial vehicle signal recognition method. The unmanned aerial vehicle signal recognition method comprises the steps that discrete target image transmission signals of a target unmanned aerial vehicle are acquired; determining a target cyclic spectrum corresponding to the target image transmission signal; and identifying the target cyclic spectrum by using a trained recognition model, and determining model information of the target unmanned aerial vehicle. According to the method, the type information of the unmanned aerial vehicle is identified on the basis of the cyclic spectrum, and independent extraction of signal features can be avoided, so thatthe influence of noise and interference can be weakened, the accuracy of signal recognition is improved, and relatively high recognition accuracy can also be guaranteed in a low signal-to-noise ratioenvironment.
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Description

technical field

[0001] The invention relates to the field of unmanned aerial vehicles, in particular to a method, device, electronic equipment and storage medium for identifying signals of unmanned aerial vehicles. Background technique

[0002] With the gradual improvement of the integration of information technology and social production and life, the UAV market is developing in a blowout manner. However, a large number of drones are in a state of lack of supervision, and it is difficult to implement effective control, resulting in frequent incidents of drones affecting public safety. Therefore, effective monitoring, identification and suppression of drones are crucial to public safety . Among them, it is necessary to identify which type of drone the drone signal belongs to.

[0003] In the existing related technologies, the main idea of ​​identifying UAVs by means of radio signals is: first extract signal features (such as time domain features, frequency domain features,...

Claims

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