J4 ›› 2012, Vol. 39 ›› Issue (6): 124-129+141.doi: 10.3969/j.issn.1001-2400.2012.06.020

• Original Articles • Previous Articles     Next Articles

Information theory description of specific emitter identification

HUANG Yuanling;ZHENG Hui;WAN Jian   

  1. (Science and Tech. on Blind Signal Processing Lab., Chengdu  610041, China)
  • Received:2011-08-24 Online:2012-12-20 Published:2013-01-17
  • Contact: HUANG Yuanling E-mail:newhyl@163.com

Abstract:

In order to give a theoretical description of specific Emitter Identification (SEI), the Information Theory (IT) is introduced to describe the model of SEI. An algorithm for Mutual Information (MI) estimation is proposed to enable the evaluation of the theoretic performance limit of SEI process. The IT SEI model provides a guide for the design of SEI systems, and it derives the Non-parametric feature extraction algorithms based on the MI measure. In simulation and experiments, the MI measure is used to evaluate the influence of the receiver distortion and the performance of the feature extraction algorithms. The results demonstrate the effectiveness of the MI description and the resulting non-parametric features of SEI.

Key words: specific emitter identification, information theory, feature extraction, non-parametric features, pattern recognition


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