A Physical Layer Authentication Method Based on Exponential Average Data Augmentation
A technology of averaging data and authentication methods, applied in the field of edge computing security authentication access, can solve the problems of low authentication accuracy, time-consuming, affecting the authentication accuracy rate, etc., and achieve the effect of improving the accuracy rate
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0032] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.
[0033] The present invention is an improvement to the physical layer authentication method based on machine learning and deep learning. At present, in the model training and authentication of the physical layer authentication method based on machine learning and deep learning, it is directly adopted from the demodulated synchronization head. Channel information is extracted through channel estimation, and then the extracted channel information is labeled for model training. Insufficient channel information characteristic data obtained in this way will lead to low authentication accuracy, thereby affecting authentication accuracy. The present invention utilizes the exponential weighted average method to construct new channel information sampl...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com