Paper
5 July 2024 Channel insensitive RFFI scheme designed for LTE-V2X
Zhen Zhang, Aiqun Hu, Shiqi Zhang
Author Affiliations +
Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131842S (2024) https://doi.org/10.1117/12.3033193
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Recently, Vehicle to Everything (V2X) technique has drawn great attention in various industries. Unlike traditional wireless communication systems, malicious attacks against V2X network may not only cause user privacy disclosure, but also may pose a direct threat to the personal safety of passengers. Radio frequency (RF) fingerprinting is a physical-layer based technique that has proved effective in device identification and has been widely used in many communication systems. However, it is still tough work to conduct RF fingerprinting in a V2X scenario due to its bad channel condition. This paper has proposed a channel insensitive radio frequency fingerprint identification (RFFI) scheme achieved by eliminating channel interference while retaining channel insensitive RF features. Signal pre-processing is firstly carried out including precise synchronization and carrier frequency offset (CFO) estimation. Then a channel insensitive feature extraction algorithm (CIFEA) which can effectively eliminate channel interference without channel estimation has been designed to obtain stable RF fingerprints under time-varying channels. Additionally, stacking algorithm has been adopted to further enhance performance of our system. Experimental results with practical Long Term Evolution (LTE)-V2X dataset demonstrate th13at the proposed scheme can achieve high identification accuracy in practical V2X systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhen Zhang, Aiqun Hu, and Shiqi Zhang "Channel insensitive RFFI scheme designed for LTE-V2X", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131842S (5 July 2024); https://doi.org/10.1117/12.3033193
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KEYWORDS
Feature extraction

Signal to noise ratio

Transmitters

Information security

Distortion

Reliability

Wireless communications

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