Method and system for extracting LED fine features and LED individual identification in visible light communication

By using equivalent circuit transfer function parameters and neural network methods, subtle features of LEDs are extracted, solving the problem of insufficient systematic interpretation in the fingerprint feature extraction of LED optoelectronic devices in the prior art, and realizing security authentication and intrusion detection of unmanned systems.

CN122153613APending Publication Date: 2026-06-05Chinese People's Liberation Army Cyberspace Force Information Engineering University
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Chinese People's Liberation Army Cyberspace Force Information Engineering University
Filing Date
2026-01-20
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies lack a systematic theoretical explanation for extracting fingerprint features from LED optoelectronic devices, making it difficult to effectively utilize their inherent subtle feature differences for security authentication and identification.

Method used

The transfer function parameters of the equivalent circuit are used as fingerprint features. The signal transfer function model is fitted by step response fitting and nonlinear least squares algorithm. Combined with neural network method, individual LED identification is performed to extract the subtle feature vector of LED.

Benefits of technology

It achieves efficient and reliable LED individual identification, enhancing the security authentication and intrusion detection capabilities of unmanned systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of visible light communication, and particularly relates to a LED fine feature extraction method, a LED individual identification method and a system in visible light communication, a signal transfer function model is constructed based on an LED equivalent circuit, and coefficients in the signal transfer function model are represented by equivalent parameters of components in the LED equivalent circuit; rising edge data in the visible light communication is extracted and preprocessed; the preprocessed rising edge data is taken as response data of a step input in the visible light communication, corresponding time domain signal transfer function model output is taken as measurement data of the step input in the visible light communication, the signal transfer function model is fitted based on the rising edge data and through a nonlinear least square algorithm, and the optimal coefficient solution is taken as a LED fine feature vector in the visible light communication. The present application avoids complex circuit parameter solving, and uses step response fitting fingerprint parameters, and can be used in security enhancement fields such as security authentication, intrusion detection and access control of an unmanned system based on optoelectronic devices.
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