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基于盒子维数和最大Lyapunov维数的瞬态信号特征提取

颜富甲 黄联芬 赵彩丹

现代电子技术Issue(7):51-53,56,4.
现代电子技术Issue(7):51-53,56,4.

基于盒子维数和最大Lyapunov维数的瞬态信号特征提取

Transient signal feature extraction based on box dimension and maximum Lyapunov dimension

颜富甲 1黄联芬 1赵彩丹1

作者信息

  • 1. 厦门大学 信息科学与技术学院 通信工程系,福建 厦门 361005
  • 折叠

摘要

Abstract

Cognitive radio is one kind of wireless communication technology,which effectively improves the spectrum effi⁃ciency by the way of wireless spectrum sensing. Besides of varieties of security issues of the traditional wireless communication, it also has some new problems,such as Primary User Emulation(PUE) attack. This paper proposes that the transient signal characteristics extraction based on the fractal dimension protects the PUE attack from the cognitive wireless networks,and then extracts the fractal dimension of wireless transmitter through experiments,which provides reliable characteristic parameters for the next signal recognition to prevent the attack of PUE.

关键词

认知无线电/模仿主用户攻击/盒子维数/最大Lyapunov维数/特征提取

Key words

cognitive radio/primary user emulation attack/box dimension/maximum Lyapunov dimension/feature extraction

分类

信息技术与安全科学

引用本文复制引用

颜富甲,黄联芬,赵彩丹..基于盒子维数和最大Lyapunov维数的瞬态信号特征提取[J].现代电子技术,2013,(7):51-53,56,4.

基金项目

国家自然科学基金资助(61172097) (61172097)

福建省自然科学基金资助(2012J01424) (2012J01424)

现代电子技术

OACSTPCD

1004-373X

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