特定辐射源识别的信息论描述

doi:10.3969/j.issn.1001-2400.2012.06.020

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

特定辐射源识别的信息论描述

黄渊凌;郑辉;万坚

(盲信号处理重点实验室，四川成都 610041)

收稿日期:2011-08-24 出版日期:2012-12-20 发布日期:2013-01-17
通讯作者: 黄渊凌
作者简介:黄渊凌(1982-)，男，盲信号处理重点实验室博士研究生，E-mail: newhyl@163.com．

Information theory description of specific emitter identification

HUANG Yuanling;ZHENG Hui;WAN Jian

(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

摘要/Abstract

摘要：

为对特定辐射源识别技术进行数学理论描述，引入了信息论对特定辐射源识别过程进行建模，设计了互信息计算算法以评估特定辐射源识别的理论极限性能，并采用信息论对特定辐射源识别的系统设计进行指导，提出依据互信息度量提取非参数特征实现特定辐射源识别．在实验和仿真中根据互信息描述对接收机畸变的影响和特征提取算法的性能进行了评估，表明了特定辐射源识别信息论描述的有效性和非参数特征的可行性．

关键词: 特定辐射源识别, 信息论, 特征提取, 非参数特征, 模式识别

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

黄渊凌;郑辉;万坚. 特定辐射源识别的信息论描述[J]. J4, 2012, 39(6): 124-129+141.

HUANG Yuanling;ZHENG Hui;WAN Jian. Information theory description of specific emitter identification[J]. J4, 2012, 39(6): 124-129+141.

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特定辐射源识别的信息论描述

Information theory description of specific emitter identification

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