@article{(Open Science Index):https://publications.waset.org/pdf/10010374,
	  title     = {Specific Emitter Identification Based on Refined Composite Multiscale Dispersion Entropy},
	  author    = {Shaoying Guo and  Yanyun Xu and  Meng Zhang and  Weiqing Huang},
	  country	= {},
	  institution	= {},
	  abstract     = {The wireless communication network is developing
rapidly, thus the wireless security becomes more and more important.
Specific emitter identification (SEI) is an vital part of wireless
communication security as a technique to identify the unique
transmitters. In this paper, a SEI method based on multiscale
dispersion entropy (MDE) and refined composite multiscale dispersion
entropy (RCMDE) is proposed. The algorithms of MDE and RCMDE
are used to extract features for identification of five wireless
devices and cross-validation support vector machine (CV-SVM)
is used as the classifier. The experimental results show that the
total identification accuracy is 99.3%, even at low signal-to-noise
ratio(SNR) of 5dB, which proves that MDE and RCMDE can
describe the communication signal series well. In addition, compared
with other methods, the proposed method is effective and provides
better accuracy and stability for SEI.},
	    journal   = {International Journal of Information and Communication Engineering},
	  volume    = {13},
	  number    = {5},
	  year      = {2019},
	  pages     = {281 - 286},
	  ee        = {https://publications.waset.org/pdf/10010374},
	  url   	= {https://publications.waset.org/vol/149},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 149, 2019},
	}