Specific Emitter Identification Techniques for the Internet of Things

Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics. The method operates in the physical layer of the internet and can effectively improve the security of the Internet of Things (IoT). Generally, SEI identifies the uniqueness of the transm...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.1644-1652
Main Authors: Sa, Kejin, Lang, Dapeng, Wang, Chenggang, Bai, Yu
Format: Article
Language:English
Subjects:
Amplifiers
Artificial neural networks
Communication system security
Emitters
Feature extraction
Feature recognition
Internet of Things
IoT
Object recognition
Pictures
power amplifier
Quadratures
Radio transmitters
Security
Specific emitter identification
Wireless communication
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Summary:Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics. The method operates in the physical layer of the internet and can effectively improve the security of the Internet of Things (IoT). Generally, SEI identifies the uniqueness of the transmitting platform by using the unintentional modulation information of the emitter such as radar, which has "fingerprint" characteristics. Existing SEI methods are based on hand-crafted features to distinguish different emitters. In this paper, traditional feature extraction methods are studied and a new recognition method is proposed. To determine the effectiveness of the method, the output signals of eight amplifiers are collected as the research object. The power spectrum characteristics and adjacent channel power ratio (ACPR) of the signal are then extracted and eight amplifiers are distinguished. Finally, the quadrature-phase signals are converted into pictures, and convolutional neural networks are used to automatically extract features for classification and recognition. The results show that the recognition rate of converting signals into pictures can reach 95%, when SNR is 20dB.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2962626