Exponentially Weighted Distance-Based Detection for Radiometric Identification

Yong Qiang JIA  Lu GAN  Hong Shu LIAO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E100-A   No.12   pp.3086-3089
Publication Date: 2017/12/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Measurement Technology
Keyword: 
radiometric identification,  radio frequency fingerprint,  transient detector,  

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Summary: 
Radio signals show characteristics of minute differences, which result from various idiosyncratic hardware properties between different radio emitters. A robust detector based on exponentially weighted distances is proposed to detect the exact reference instants of the burst communication signals. Based on the exact detection of the reference instant, in which the radio emitter finishes the power-up ramp and enters the first symbol of its preamble, the features of the radio fingerprint can be extracted from the transient signal section and the steady-state signal section for radiometric identification. Experiments on real data sets demonstrate that the proposed method not only has a higher accuracy that outperforms correlation-based detection, but also a better robustness against noise. The comparison results of different detectors for radiometric identification indicate that the proposed detector can improve the classification accuracy of radiometric identification.