| 基于随机共振的微弱信号检测 |
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| 引用本文： | 蔡卫菊. 基于随机共振的微弱信号检测[J]. 太赫兹科学与电子信息学报, 2012, 10(2): 210-212 |
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| 作者姓名： | 蔡卫菊 |
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| 作者单位： | 长江大学 电子信息学院,湖北荆州,434000 |
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| 摘 要： | 介绍随机共振(SR)方法的基本思想,并建立数学模型。随机共振系统是非线性双稳态系统,存在某一最佳输入噪声强度,使系统产生最高信噪比输出,达到抑制噪声,放大微弱信号的目的。针对传统系统随机共振只适用于极低频信号的局限,本文引入尺度变换,消除了对待检信号频率的限制,通过Matlab仿真,验证了其对微弱信号检测的有效性。
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| 关 键 词： | 随机共振 微弱信号 双稳系统 |
| 收稿时间： | 2011-05-18 |
| 修稿时间： | 2011-06-14 |
Detecting weak signal based on stochastic resonance |
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| CAI Wei-ju. Detecting weak signal based on stochastic resonance[J]. Journal of Terahertz Science and Electronic Information Technology, 2012, 10(2): 210-212 |
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| Authors: | CAI Wei-ju |
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| Affiliation: | CAI Wei-ju(Electronic Information College,Yangtze University,Jingzhou Hubei 434000,China) |
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| Abstract: | The basic concepts of detection method based on Stochastic Resonance(SR) are described and the mathematical model is established.An SR system is a nonlinear bi-stable system,which produces the highest signal-to-noise ratio output under the optimum noise intensity input to suppress noise and amplify weak signal.Its mathematical model can be defined by nonlinear Langevin equation.Conventional SR is suitable only to the signals at extreme low frequency.By introducing scale transform,the limitation on the frequency of the signal to be detected is eliminated.And the simulation results verify the validity of the detection of the weak signal. |
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| Keywords: | Stochastic Resonance(SR) weak signal bi-stable system |
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