Application of a ring coupled double-Duffing oscillator to a scheme for identifying the coulter signal with a low SNR

• Autorzy: Zhao Zhijie , Liu Runcong , Wang Xiaodong

Identyfikatory

DOI

10.15632/jtam-pl/163290

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

simulated Coulter signal; pulsed signal identification; ring coupled double-Duffing oscillator; chaotic-transient synchronous mutation; continuous synchronous mutation

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2023
• Tom: Vol. 61 nr 2
• Strony: 379--393
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Zhao Zhijie

• Center of Materials Science and Optoelectronics Engineering, College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China

autor

Liu Runcong

• Center of Materials Science and Optoelectronics Engineering, College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China

autor

Wang Xiaodong

• Center of Materials Science and Optoelectronics Engineering, College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).