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随机共振应用于大频率周期性弱信号检测
引用本文:张宇,赵远,唐勐,吕海峰,孙秀冬.随机共振应用于大频率周期性弱信号检测[J].哈尔滨工业大学学报,2008,40(11):1793-1795.
作者姓名:张宇  赵远  唐勐  吕海峰  孙秀冬
作者单位:哈尔滨工业大学物理系,哈尔滨150001
基金项目:哈尔滨工业大学优秀团队支持计划  
摘    要:研究了利用随机共振检测强噪声背景下的大频率周期性弱信号.利用时序步进采样将大频率待测周期性弱信号的频率降低,再利用非线性双稳态系统的随机共振强烈压制伴随大频率信号的噪声,同时信号由于其稳定的周期振荡行为从噪声背景下凸现出来.研究结果表明该技术在检测强噪声背景下的大频率周期性弱信号方面具有明显的优势,且能够大幅度地提高利用随机共振检测弱信号的频率.

关 键 词:非线性系统  随机共振  时序步进采样  周期性弱信号检测

Detection of high frequency periodic weak signal based on stochastic resonance
ZHANG Yu,ZHAO Yuan,TANG Meng,LU Hai-feng,SUN Xiu-dong.Detection of high frequency periodic weak signal based on stochastic resonance[J].Journal of Harbin Institute of Technology,2008,40(11):1793-1795.
Authors:ZHANG Yu  ZHAO Yuan  TANG Meng  LU Hai-feng  SUN Xiu-dong
Affiliation:(Dept.of Physics,Harbin Institute of Technology,Harbin 150001,China)
Abstract:Detection of high frequency periodic weak signal under heavy noise background was studied by using stochastic resonance.The frequency of the weak signal was lowered by using time step sampling and the noise going with large frequency weak signal was restrained intensively by the stochastic resonance of nonlinear bistable system,meanwhile,the periodic signal was stood out from the heavy noise background.The results show that this method has clear potential for detecting high frequency periodic weak signal from heavy noise background with stochastic resonance and time step sampling,and the frequency of weak signal detected by stochastic resonance can be improved greatly.
Keywords:nonlinear system  stochastic resonance  time step sampling  detection of periodic weak signal
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