Specific Emitter Identification Techniques for the Internet of Things

Kejin Sa,Dapeng Lang,Chenggang Wang,Yu Bai

doi:10.1109/access.2019.2962626

Abstract

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.

Highlights

Specific emitter identification(SEI) technology measures the characteristics of received electromagnetic signals to determine the individual emitter of the signal according to prior information
The Specific Emitter Identification (SEI) designates the individual emitter by discriminating it from all other emitters [1]–[4]. uch features are extracted from the received signal and termed as radio frequency fingerprints
We can see that the recognition rate increases as the signal-to-noise ratio (SNR) increases, and it can achieve more than 90% when the SNR is higher than 20 dB

Summary

INTRODUCTION

Specific emitter identification(SEI) technology measures the characteristics of received electromagnetic signals to determine the individual emitter of the signal according to prior information. This information is associated with the individual emitter and its platform and weapon system. The signal received from the transmitters can be used to extract this difference in order to individually identify wireless devices. The method is called specific emitter identification (SEI), which aims at distinguishing the authorized transmitters of various users based on the unique features of radio frequency signals at the physical layer. Traditional signal processing algorithms are compared with image-based methods. Compared with traditional feature extraction methods, Graph-based method has better performance

RELATED WORK

CONTOUR STELLA IMAGE

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CONCLUSION