期刊文献+

通信辐射源个体识别研究现状及发展趋势 被引量:3

Research Situation and Directions of Transmitter Individual Identification Technique
下载PDF
导出
摘要 近年来,通信辐射源个体识别技术是通信信号处理领域里的一个研究热点。而细微特征分析和分类器的设计是辐射源个体识别技术的两个重要方面。文章首先从暂态特征提取、稳态特征提取、特征分析与选择这三个方面来介绍细微特征分析的研究现状。然后,分析了分类器在通信辐射源个体识别中的应用现状。最后,结合存在的问题,指出了通信辐射源个体识别技术未来可能的发展方向。 In recent years, transmitter individual identification technique has become research hot spot in communication signal processing. Analysis to communication signal subtle features and design of classifier are two key aspects of transmitter individual identification technique. Firstly research situation of analysis to communication signal subtle features is introduced from aspects of feature extraction to transient signal, feature extraction to steady signal and analysis to feature. Then, application situation of classifier to transmitter individual identification tech- nique is introduced. Finally, the possible research directions of transmitter individual identifi- cation technique are provided briefly, according to current difficulties in individual identifica- tion technique.
出处 《电子对抗》 2014年第1期42-48,共7页 Electronic Warfare
关键词 个体识别 细微特征分析 分类器的设计 individual identification analysis to communication signal subtle features designof classifier
  • 相关文献

参考文献37

  • 1Kenneth I. Talbot, Paul R. Duley and Martin H. Hyatt. Specific Emitter Identification and Verification[ J] Technolo- Review Journal Spring/Summer, 2003 : 113-133.
  • 2D. Shaw and W. Kinsner. Multifractal Modelling of Radio Transmitter Transients for Classification [ C ]//Conference on Communications, Power and Computing Proceedings. 1997 : 306-312.
  • 3L. Sun and W. Kinsner. Fractal segmentation of signal from noise for radio transmitter fingerprinting [ C ]// 1998IEEE. 1998:561-564.
  • 4O. Ureten and N. Serinken. Detection of Radio Transmit- ter Turn-on Transients [ J]. Electronics Letters, 1999, 35 (23) : 1996-1997.
  • 5O. Ureten and N. Serinken. Bayesian Detection of Radio Transmitter Turn - on Transients [ C ]//Proceedings NSIP99. 1999:830-834.
  • 6O. Ureten and N. Serinken. Bayesian Detection of Wi-Fi Transmitter RF Fingerprints [ J ]. Electronics Letters, 2005, 41 (6) :373-374.
  • 7J. Toonstra and W. Kinsner. Transient Analysis and Get netic Algorithms for Classification [ C ]//Communicati,ns, Power and Computing Conference Proceedings. 1995:432- 437.
  • 8L. Sun, W Kinsner and N. Serinken. Characterization and feature extraction of transient signals using muhifractal measure[C]//Proceedings of the 1999 IEEE Canadian Con- ference on Electrical and Computer Engineering. 1999:781- 785.
  • 9L. Sun and N. Serinken. Multfractal analysis of transient power system [ C ]//Proceedings of Canadian Conference on Electrical and Computer Engineering. Nova Scotia: IEEE, 2000:307-311.
  • 10O. H. Tekbas, O. Ureten and N. Serinken. Improve- ment of Transmitter Identification System for Low SNR Transi- ents [ J ]. Electronics Letters, 2004, 40 (3) : 182-183.

二级参考文献85

共引文献143

同被引文献19

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部