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滤波器与随机共振结合检测微弱信号
引用本文:范卫姣,王辅忠,张光璐. 滤波器与随机共振结合检测微弱信号[J]. 应用声学, 2015, 34(2): 169-174
作者姓名:范卫姣  王辅忠  张光璐
作者单位:天津工业大学理学院,天津工业大学理学院,天津工业大学理学院
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:基于双稳随机共振系统及滤波器的不同特性,本文提出了一种将两者结合起来检测微弱周期信号的方法,先用自适应前置滤波器对输入的弱周期信号及噪声进行滤波,再使其通过双稳随机共振系统,进而检测出弱信号。对比只有双稳随机共振的系统,仿真结果表明此时的输出信号中待测信号频谱幅度得到了很大的提高,且周围的干扰信号也得到了明显的削弱,即两者的结合使用可以更好的检测出微弱信号,这对强噪声背景下的信号检测有很强的实用性。

关 键 词:随机共振  滤波器  自适应  频谱幅度
收稿时间:2014-05-30
修稿时间:2015-03-01

Detecting weak signals by combining stochastic resonance with filter
fanweijiao,wangfuzhong and zhangguanglu. Detecting weak signals by combining stochastic resonance with filter[J]. Applied Acoustics(China), 2015, 34(2): 169-174
Authors:fanweijiao  wangfuzhong  zhangguanglu
Affiliation:College of science,Tianjin Polytechnic University,,College of science,Tianjin Polytechnic University,College of science,Tianjin Polytechnic University
Abstract:Making full use of the characteristics of stochastic resonance and filter, this paper design an adaptive system to detect weak signals detection by combining them. A adaptive pre-filter is used to first filter input signal and noise, then make them pass the bistable SR system. Observing the output, simulation results presents the spectrum amplitude of it has been greatly improved than the one that only have filter or bistable SR system. This indicates the combination of the two can better detect the weak signal and we demonstrate that the low frequency noise has more significantly impact on SR. So this will has a better practicability for detecting the weak signal embedded in strong noise .
Keywords:stochastic resonance   filter   self-adaptation  spectrum amplitude
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