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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
【摘要】 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。
【Abstract】 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 fof SNR is more than 15 dB.As a result,the measurment sensitivity of DPCA for parasitic polarization mode coupling in fiber gyro coil is improved.
【Key words】 white-light interference; polarization mode coupling; wavelet-transform; gain of signal-to-noise ratio(SNR);
- 【文献出处】 光电子·激光 ,Journal of Optoelectronics.laser , 编辑部邮箱 ,2005年02期
- 【分类号】TN25
- 【被引频次】27
- 【下载频次】309