一种有效提取弱信号的新方法

被引:21
作者
王利亚
蔡文生
印春生
潘忠孝
机构
[1] 中国科技大学应用化学系!合肥
关键词
随机共振; 微弱信号检测; 噪声的协作效应; 小波分析;
D O I
暂无
中图分类号
O652 [分析作业方法与技术];
学科分类号
摘要
A novel method for extracting weak signal based on the theory of stochastic resonance was proposed. It was implemented by using the cooperative effect of noise instead of adding noise to a weak signal. The previous studies show that several disadvantages exist in the adding noise method. Due to the fact that adding noise to the weak signal will decline the signal-noise-radio(SNR) of the input of the nonlinear system, it will lower the detection effect. Additionally, the resonance point is determined manually, and also obvious offset of the peak position may occur in the result analyzed. Here the novel method was applied to analyze the weak laser-Raman spectrum of a CCl4 sample (liquid in capillary) which was measured with SPEX-1403 laser-Raman-spectrometer from 250 cm-1 to 418 cm-1 on 5 mW (output power of laser). The spectrum was analyzed with the novel method by varying the data to [-4\^13, 3\^50] and declining μ from 2.0 and compared with the result acquired by wavelet analysis. The results show that the novel method can greatly increase the SNR of input signal easily to detect the weak signal. With the deep research of the theory of stochastic resonance and improvement of the new method, it will probably become a power tool to analyze spectrum.
引用
收藏
页码:53 / 55
页数:3
相关论文
共 2 条
[1]   强噪声背景中微弱信号检测的初步研究 [J].
王利亚 ;
印春生 ;
任琴 ;
左健 ;
许存义 ;
潘忠孝 .
分析化学, 1999, (12) :1391-1396
[2]  
随机力与非线性系统.[M].胡岗著;.上海科技教育出版社.1994,