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基于改进双耦合Duffing振子的微弱信号检测方法 被引量:2

Weak Signal Detection Method Based on Improved Dual-coupling Duffing Vibrator
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摘要 针对传统的混沌振子检测强噪声背景下弱信号时存在抗噪性差、易出现相位变化不稳定等问题,结合集合经验模态分解(EEMD)提出一种改进型双耦合Duffing振子系统对强噪声背景下的微弱信号进行检测的算法,并用该检测系统对强噪声背景下微弱正弦信号进行分解并检测。结果表明该检测系统解决了检测多个周期分量的含噪声信号时的模态混叠问题;得出改进型双耦合Duffing振子系统能准确、快速地检测强噪声背景下的弱信号;该方法检测精度高、适应性强,为检测任意频率的弱信号提供了一种新方法。 In view of the problems such as poor anti-noise performance and unstable phase change when the traditional chaotic oscillator detects weak signal under strong noise background,combined with the collection of empirical mode decomposition(EEMD),an improved dual coupling Duffing oscillator system was proposed to detect weak signals under strong noise background.The detection system was used to decompose and detect weak sinusoidal signals under strong noise background.The results show that the detection system solves the problem of modal aliasing when detecting noise signals with multiple periodic components.The improved dual-coupling Duffing vibration subsystem can accurately and quickly detect the weak signal under the background of strong noise.The method has high detection accuracy and good adaptability.It provides a new method for detecting weak signals at any frequency.
作者 李景贵 靳伍银 LI Jing-gui;JIN Wu-yin(School of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处 《仪表技术与传感器》 CSCD 北大核心 2021年第11期121-125,共5页 Instrument Technique and Sensor
基金 甘肃省重点研发计划(18YF1GA063)。
关键词 双耦合Duffing振子 微弱信号检测 集合经验模态分解 模态混叠 double coupled Duffing oscillator weak signal detection set empirical mode decomposition modal aliasing
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