期刊论文详细信息
International Journal of Information Technology | |
Specific Emitter Identification Based on Refined Composite Multiscale Dispersion Entropy | |
Shaoying Guo ; Yanyun Xu ; Meng Zhang ; Weiqing Huang | |
关键词: Cross-validation support vector machine; refined composite multiscale dispersion entropy; specific emitter identification; transient signal; wireless communication device.; | |
DOI : 10.1999/1307-6892/10010374 | |
学科分类:计算机应用 | |
来源: World Academy of Science, Engineering and Technology (W A S E T) | |
【 摘 要 】
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.【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201910289600537ZK.pdf | 386KB | download |