自适应随机共振算法用于微弱信号检测

我们[1] 曾将随机共振方法应用于化学弱信号的检测 ,并提出了一种只利用测量信号本身所包含噪声的协作效应来检测化学弱信号的新方法 [2 ] ,即通过连续变化系统自身的稳态参数来实现共振 .在以往工作中 ,对输出结果的表征也只是将输出与已知结果进行比较 ,通过对输出的随时监控来判断是否得到最优结果 ,因而不能实现微弱信号的自适应检测 .这无疑也限制了此方法的实际应用 .本文在以上工作的基础上 ,研究了双稳系统的输出特性 ,提出了一种自适应随机共振算法 ,即基于双稳系统的系统输出可以通过调节系统自身的稳态参数达到共振 ,从而在连续…

Application of Adaptive Stochastic Resonance Algorithm in Weak Signal Detection

An adaptive algorithm for extracting weak signal based on the theory of stochastic resonance(SR) was proposed. It was implemented by investigating the self-correlation of the outputs of the bistable system(with different μ). The results show that the self-correlation will reach maximum when a sudden change of output occurs, and hence prove that SR is sensitive sharply to the change of the parameters μ, and also provide one novel method to express the outputs which hasnt been solved till now. The adaptive algorithm was also 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 adaptive algorithm by varying the data to (-4.13, 3.50) and declining μ from 2.0 with step 0.01. The results obtained show that the adaptive algorithm was able to detect the weak signal automatically and correctly.