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Weak Signal Detection Principle Based on Chaotic Duffing Oscillator and Its Simulation Method

机译:基于混沌Duffing振荡器的弱信号检测原理及其仿真方法

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摘要

Based on Matlab as the software platform, chaos detection principle and methods used for weak signals detection are studied. The model used for simulation is established, then the simulation results of weak periodic signal detection in strong noise atmosphere are given and the steps for detecting weak signals with chaos method are listed. Furthermore, the influence of sampling period on system's performance is studied. Simulation results show that the chao detection approach proposed in this paper can detect the signal even if it is small to 10~(-10)v, and even when it is in the environment with strong noise, small signal with magnitude of only 5×10~(-9) v can be found. Chaos method has strong capability for weak signal detection which lay important foundation for exploiting virtual instrument.
机译:基于MATLAB作为软件平台,研究了用于弱信号检测的混沌检测原理和方法。建立了用于仿真的模型,然后给出了强噪声气氛中弱周期性信号检测的仿真结果,并列出了用混沌方法检测弱信号的步骤。此外,研究了采样期对系统性能的影响。仿真结果表明,本文提出的潮气检测方法也可以检测信号,即使它很小至10〜(10)v,甚至在具有强噪声的环境中,小信号只有5×可以找到10〜(-9)v。混沌方法具有强大的信号检测能力,为利用虚拟仪器提供了重要的基础。

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