Novel Method for SEI Based on 3D-Hilbert Energy Spectrum and Multi-scale Segmentation Features
This paper proposes a novel specific emitter identification(SEI)method for communication emitter individual identification based on the 3D-Hilbert energy spectrum and multi-scales segmentation(3D-HESMS).First,the time-frequency energy spectrum is derived via Hilbert-Huang Transform(HHT),which can be defined as a complicated curved surface in the three dimension space,namely the 3D-Hilbert energy spectrum.Then,via the fractal theory,four features are extracted to compose the feature vector under multi-scale segmentation.Finally,the communication emitter individual identification is achieved utilizing the Support Vector Machine(SVM).Moreover,the identification performance of the 3D-HESMS method is compared with two existing methods.The experiment results show that the identification rate of the 3D-HESMS method is higher than that of the other two methods.The features extracted by the 3D-HESMS method have a high stability,sufficiency,and identifiability.
SEI 3D-HESMS HHT multi-scale fractal
Jie Han Tao Zhang
National Digital Switching System Engineering&Technological R&D Center NDSC Zhengzhou,China
国际会议
重庆
英文
351-355
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）