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基于混沌理论的微弱信号检测 被引量:8

Weak Signal Detection Based on the Chaos Theory
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摘要 基于Matlab/Simulink软件平台,研究了微弱信号的混沌检测原理与方法,建立了仿真模型,给出强噪声中微弱周期信号检测的仿真结果以及混沌方法检测微弱信号的步骤。仿真结果表明,Duffing振子对与参考信号频率差较小的周期信号敏感,对白噪声和频差较大的周期干扰信号具有免疫力,该振子应用于实际微弱信号的检测具有可行性,为混沌虚拟仪器开发打下了基础。 Based on Matlab/Simulink, the principles and methods of faint signal chaos detection are studied. The simulated model is established. The simulation results and the process of faint periodic signal detection in big noise are given. Simulation experiments show that the oscillator is sensitive to the small signal having the tiny frequency difference with the referential signal and is immune to the random noise and interference signal having larger frequency difference with the referential signal. The application of the oscillator in weak signal detection is feasible. Chaos method has strong faint signal detection capability and it provides basis for virtual instrument development.
作者 朱斌
出处 《电子科技》 2010年第2期65-67,共3页 Electronic Science and Technology
基金 长江师范学院科学技术研究基金资助项目(08JKY36)
关键词 微弱信号 混沌 检测 虚拟仪器 weak signal chaos detection virtual instrument
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