Specific emitter identification method for aerial target

被引：1
|
作者：
Liu M. [1 ]
Yan Z. [1 ]
Zhang J. [1 ]
机构：
[1] State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 11期
关键词：
Fine features; Mode decomposition; Multi-scale permutation entropy; Specific emitter identification (SEI); Support vector machine (SVM);
D O I：
10.3969/j.issn.1001-506X.2019.11.02
中图分类号：
学科分类号：
摘要：
For the problem of the poor performance of traditional specific emitter identification methods in low signal to noise ratio (SNR) environments, a method of specific emitter identification for the aerial target is proposed. Empirical mode decomposition and variational mode decomposition are employed to obtain modal components of different frequencies of the signals, and multi-scale entropy of each modal component is taken as features. The principal component analysis is used to reduce the dimensions of the features, and the support vector machine is used as a classifier to identify the specific emitter identification. Simulation results show that the proposed method has better recognition and anti-noise performance for fine features such as phase noise, frequency drift and harmonic distortion than the traditional methods. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
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收藏
页码：2408 / 2415
页数：7
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