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Weak Signal Detection Based on Duffing Oscillator

机译:基于达芬振荡器的微弱信号检测

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摘要

The capability of conventional detection method such as power spectral density is limited while detecting periodic signals buried in the noise and deciding accurate frequency, the chaotic oscillator can increase the detection ability of weak periodic signals and improve frequency precision. In this paper, a new method based on duffing oscillator is proposed to detect weak signals. The chaos characteristic and detection principle for weak periodic signals of duffing equation are analyzed. This paper researched on the chaos property of duffing oscillator equation with Melnikov criteria. Through analyzing the intermittent chaos mechanism of Duffing oscillator, it was found that the system output is a intermittent chaotic signal when input frequency deviates the compulsory drive frequency slightly, and the deviation can be estimated by the statistic characteristic of output chaotic signal. Simulation results show that this method can detect weak signals with extremely low signal to noise ratio.
机译:功率谱密度等常规检测方法的能力受到限制,同时检测到被噪声掩埋的周期信号并确定准确的频率,混沌振荡器可以提高弱周期信号的检测能力,并提高频率精度。提出了一种基于达芬振荡器的微弱信号检测新方法。分析了达芬方程的弱周期信号的混沌特性和检测原理。本文利用梅尔尼科夫准则研究了达芬振子方程的混沌性质。通过分析Duffing振荡器的间歇性混沌机理,发现当输入频率稍微偏离强制驱动频率时,系统输出是间歇性混沌信号,可以通过输出混沌信号的统计特性来估计偏差。仿真结果表明,该方法能够以极低的信噪比检测弱信号。

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