小波变换在白光干涉数据处理中的应用

Application of Wavelet Transform in the Data Processing of White-light Interferometry

采用小波变换方法对分布式寄生偏振耦合测试仪(DPCA)采样数据进行滤波除噪。实验结果表明,通过采用Daubechies小波对采样数据进行5阶分解、除噪并重建信号后,信噪比(SNR)满足测量要求:SNR从65dB左右提高到80dB以上,SNR增益达到15dB以上,提高了光纤陀螺DCPA对保偏光纤绕组中偏振耦合点的检测灵敏度。

In the processing of the data sampled by the distributed polarization coupling analyzer (DPCA) wavelet-transform was applied to reduce the noise. Experimental results indicate that the signal-to-noise ratio (SNR) after denoising and recovering of the signal can meet the measurement requirements through five-stage denoising using Daubechies Wavelet. The SNR is improved from 65 dB to more than 80 dB, and the gain of SNR is more than 15 dB. As a result, the measurement sensitivity of DPCA for parasitic polarization mode coupling in fiber gyro coil is improved.