小波分析在光激光拾硅微谐振传感器微弱信号检测中的应用

Wavelet Multiresolution Analysis on Weak Signal Detection of Photo-actuated & Photo-pickup Silicon Tiny Resonance Sensor

光激光拾硅微谐振传感器在实际测量中光拾信号非常微弱 ,往往淹没在噪声中 ,无法识别其谐振频率。根据光拾信号与噪声的频率特性 ,采用小波多分辨分析方法将噪声与信号分离 ,并采用双频法识别系统 ,研究了采样频率与系统谐振频率的关系 ,在两个最佳采样频率下达到准确识别谐振频率。

The actual output of photo actuated & photo pickup silicon tiny resonance sensor is very weak and is often flooded in the noise, so it is difficult to recognize its resonant frequency. Wavelet multiresolution analysis is adopted to seperate the noise from the signal, according to the frequency domain characteristics of the photo pickup signal and the noise. Two frequency method is used to recognize the sensor system. The relationship between the sampling frequency and the resonant frequency is studied, and the conclusion is that resonant frequency, inherent frequency and damping ratio could be recognized precisely using the optimum sampling freuency.