Special airspace unmanned aerial vehicle management and control system and method based on communication link intervention

By using spectrum sensing and deep learning technologies, the radio frequency signals of drones are captured, and a multi-dimensional time-series feature vector sequence is constructed to achieve real-time analysis and stable takeover of unauthorized drone communication links. This solves the problem of rapid handling in existing technologies and ensures the safe landing of drones.

CN122176969AActive Publication Date: 2026-06-09LISHUI RES INST OF HANGZHOU UNIV OF ELECTRONIC SCI & TECH +1
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Patent Information

Application Number
CN202610654750.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-13
Publication Date
2026-06-09
Estimated Expiration
2046-05-13

AI Technical Summary

Technical Problem

Existing technologies are insufficient to achieve real-time capture and parsing of unauthorized UAV communication links, online modeling of protocol interaction sequences, dynamic positioning and stable control of key fields in a short period of time, making it difficult to achieve intelligent parsing and stable takeover of target links during rapid on-site airspace operations.

Method used

By capturing the UAV's radio frequency signals through spectrum sensing devices, extracting in-phase orthogonal components and signal entropy values, constructing a multi-dimensional temporal feature vector sequence, using long short-term memory networks for unsupervised learning, mining the temporal dependencies between communication frames, constructing a dynamic protocol syntax tree, generating micro-perturbation detection data packets based on reinforcement learning agents, iteratively searching the abnormal state space, generating takeover control commands, and combining a three-dimensional environmental potential field model to guide the UAV to land.

Benefits of technology

It enables real-time monitoring and adaptive parsing of UAV communication under unknown or encrypted link conditions, reducing processing delays, improving the reliability and security of processing, and ensuring the smooth landing of UAVs.

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Abstract

The invention relates to the technical field of wireless communication, in particular to a special airspace unmanned aerial vehicle management and control system and method based on communication link intervention, and the method comprises the steps: capturing a radio frequency signal of an unmanned aerial vehicle through spectrum sensing, extracting physical layer features such as an in-phase orthogonal component and an entropy value, and constructing a multi-dimensional time sequence vector representing the change of a communication state; inputting the feature sequence into an LSTM unsupervised protocol grammar inference model, learning inter-frame dependency and state transition, and outputting a dynamic protocol grammar tree; constructing a reinforcement learning action space by using a syntax tree, and performing search authentication and encryption verification on a fragile state by injecting a perturbation probe packet; a subsequent code value is observed and predicted in combination with a rolling code, a timestamp and a check bit are calibrated, a takeover frame is sent in a receiving window period, an original remote control link is takeover, and a unique control channel is established; and issuing a virtual geofence and navigation correction, planning an obstacle avoidance path in combination with the three-dimensional potential field, and guiding the unmanned aerial vehicle to land safely.
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