Intuitive Systemic Models and Intrinsic Features for Radar-Specific Emitter Identification

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)


An intuitive systemic model based on the systemic Yoyos and stochastic differential geometry is provided for finding a meaningful geometric description of radar-specific emitter identification (SEI) problems in this paper. According to this model, we show that intrinsic parameters of signals can be used to explain and find the effective fingerprints feature of specific emitters. Experiments on actual intercepted radar signals with the same type verify the correctness and validity of the proposed model.


Radar Specific emitter identification Systemic Yoyos Differential geometry 



We thank professor Wenli Jiang, Xiang Wang and Peng Yang for useful discussions regarding this work. We also thank professor Yi Lin for his thesis, and Yifei Li for her comments. We are grateful to the reviewers for their helpful suggestions.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.School of Electronic Science and TechnologyNational University of Defense TechnologyChangshaChina

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