A method for protecting the privacy of synesthetic signals based on artificial noise
By constructing an initial artificial noise generation model and a joint mapping field for communication and sensing, and dynamically adjusting the artificial noise signal, the problem of privacy leakage in the integrated communication and sensing system is solved. This achieves shielding of potential echo leakage paths and privacy protection, and improves the system's adaptability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTH CHINA ELECTRIC POWER UNIV
- Filing Date
- 2026-02-05
- Publication Date
- 2026-06-02
AI Technical Summary
In existing communication and sensing integrated systems, the risk of privacy leakage at the signal level is difficult to defend against effectively. Physical layer encryption methods affect communication performance, while post-processing methods for sensing data cannot control the exposure path of sensitive signals from the root.
An initial generation model for artificial noise guided by the distribution of perceived targets is constructed. Combined with the joint mapping field of communication and perception, multi-channel spatially directional artificial noise signals are dynamically controlled. Real-time interference optimization is performed through a privacy-vulnerable area feedback mechanism to achieve shielding of potential echo leakage paths and privacy protection.
It enables efficient shielding of privacy information in sensitive areas without affecting the normal functions of communication and sensing systems, reducing the risk of potential privacy leaks and improving the system's privacy protection and business perception performance in complex environments.
Smart Images
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