环形耦合双达夫芬振荡器在低信噪比库尔特信号识别方案中的应用

IF 0.6 4区 工程技术 Q4 MECHANICS Journal of Theoretical and Applied Mechanics Pub Date : 2023-04-25 DOI:10.15632/jtam-pl/163290
Zhijie Zhao, Runcong Liu, Xiaodong Wang
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引用次数: 0

摘要

为了利用混沌振荡器识别低信噪比(SNR≤0)的Coulter信号,采用高斯脉冲信号模拟Coulter信号,研究了混沌环耦合双duffing (RCDD)振荡器的连续同步突变(CSM)现象来识别该信号。振荡器中两个状态变量的最大差值可以用来确定振荡器的抗噪声能力,并构造一个函数来识别脉冲幅度。建立了Simulink模型,验证了该方法可用于低信噪比的脉冲幅度识别,为开发低信噪比库尔特信号的测量技术提供了途径。
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Application of a ring coupled double-Duffing oscillator to a scheme for identifying the coulter signal with a low SNR
In order to use chaotic oscillators to identify Coulter signals with a low SNR (SNR ¬ 0), a Gaussian pulse signal is used to simulate the Coulter signal, and we study the continuous synchronous mutation (CSM) phenomenon of a chaotic ring coupled double-Duffing (RCDD) oscillator to identify the signals. The maximum difference between the two state variables in the oscillator can be used to determine the anti-noise ability of the oscillator and construct a function to identify pulse amplitudes. A Simulink model is constructed to verify that the proposed method can be used to identify pulse amplitudes with a low SNR, which provides an approach for developing a technology of measuring Coulter signals with the low SNR.
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来源期刊
CiteScore
1.40
自引率
14.30%
发文量
22
审稿时长
6 months
期刊介绍: The scope of JTAM contains: - solid mechanics - fluid mechanics - fluid structures interactions - stability and vibrations systems - robotic and control systems - mechanics of materials - dynamics of machines, vehicles and flying structures - inteligent systems - nanomechanics - biomechanics - computational mechanics
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