一种新的间歇混沌信号Poincar映像判别方法

谢涛; 魏学业

doi:10.3724/SP.J.1146.2007.01467

一种新的间歇混沌信号Poincar映像判别方法

doi: 10.3724/SP.J.1146.2007.01467

谢涛,
魏学业

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- 被引次数: 0
出版历程
- 收稿日期: 2007-09-13
- 修回日期: 2008-01-21
- 刊出日期: 2008-09-19

A New Method of Intermittent Chaotic Signal Identification Based on Poincar Map

Xie Tao,
Wei Xue-Ye

摘要

摘要: 针对混沌振子微弱信号检测中间歇混沌信号的判别问题，该文分析了噪声对Poincar截面的扰动影响，提出一种基于Poincar映像的新方法，并通过数值仿真对该方法进行了验证，结果表明在强噪声作用下，即使相空间分量输出波形难以进行判别，该方法仍然能够实现间歇混沌发生频率的有效判别，且抑制了混沌振子自发的短时间周期振荡现象，实现了强噪声背景下微弱周期信号的快速有效检测。
- 混沌振子 /
- 微弱信号检测 /
- 间歇混沌信号识别 /
- Poincar截面 /
- Poincar映像
Abstract: In view of intermittent chaotic signal identification problem for chaotic oscillator weak signal detection, noise disturbing effect on Poincar section is analyzed, a new identification method based on a Poincar map is proposed and numerical simulation is done in order to validate this method. The result shows that this method archives effective identification to intermittent chaotic signal frequency, even when the output wave of phase component is hard to identify. The short-time periodic chaotic self-oscillation is restrained, a swift and validate weak signal detection under strong noise background is realized.
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