Accurate interference method and system for pilot signal of remote controller of unmanned aerial vehicle

By receiving and analyzing drone signals, combining reinforcement learning and deep learning technology, optimizing interference signal parameters, and using real-time spectrum perception technology to identify potential conflict frequency bands, the problem of inaccurate identification and interference of drone signals in the existing technology is solved, and precise interference to drone signals is achieved, reducing the impact on legal communications.

CN119652446AActive Publication Date: 2025-03-18BEIJING LIZHENG TECH CO LTD
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Patent Information

Application Number
CN202510186655.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-20
Publication Date
2025-03-18
Estimated Expiration
2045-02-20

AI Technical Summary

Technical Problem

The prior art cannot accurately identify and interfere with specific signals of drones, resulting in a greater impact on legal communication equipment.

Method used

By receiving the drone's graph transmission signals and remote control signals, detecting and analyzing the starting time, transmission period and graph transmission protocol classification results of the signal, combining reinforcement learning algorithms and long-term memory networks, optimizing the parameter configuration of interference signal, and using real-time spectrum perception technology and convolutional neural networks, monitoring and classifying the wireless communication environment, identifying potential conflict frequency bands, and finally determining the precise interference method.

Benefits of technology

It realizes accurate identification and interference of drone remote control signals, reduces the impact on legal communication, improves the accuracy of interference and the robustness and adaptability of the system.

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Abstract

The invention provides a precise interference method and system for pilot signals of a remote controller of an unmanned aerial vehicle, and the method comprises the steps: receiving and processing an image transmission signal and a remote control signal of the unmanned aerial vehicle, and analyzing a starting time, a transmission period and different types of image transmission protocol classification results of the image transmission signal; extracting the time period of the remote control signal and the occurrence time of a pilot symbol in the remote control signal; generating optimized interference signal parameter configuration by utilizing a reinforcement learning algorithm, analyzing historical data by utilizing a long short-term memory network to obtain a historical analysis result, and predicting an optimal interference opportunity; monitoring a wireless communication environment around the unmanned aerial vehicle by using a real-time spectrum sensing technology so as to identify a potential conflict frequency band, and selecting a target interference frequency band by using a frequency agility technology; determining a precise interference method based on the historical analysis result, the optimal interference opportunity and the target interference frequency band; according to the invention, the interference precision and effect on the pilot signal of the remote controller of the unmanned aerial vehicle are improved.
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