强激光与粒子束2024，Vol.36Issue(8)：9-16,8.DOI:10.11884/HPLPB202436.240125
基于小波阈值滤波和S-G滤波相结合的激光自混合干涉微位移重构
Micro displacement reconstruction of laser self mixing interference based on wavelet threshold filtering and S-G filtering
摘要
Abstract
In semiconductor laser self-mixing interferometry(SMI)for micro-displacement measurement,the precise extraction of phase information is essential for high-accuracy displacement reconstruction.However,measurement noise induces phase errors in the SMI signal,leading to suboptimal displacement reconstruction accuracy.To tackle the challenge of signal denoising,wavelet thresholding denoising algorithms can effectively filter out most of the noise.However,they suffer from local oscillation issues when applied to SMI signal denoising.This results in the appearance of new interference peaks in the denoised self-mixing interference signal,thereby causing erroneous displacement reconstruction.This paper proposes an SMI signal processing algorithm that synergistically combines wavelet thresholding and Savitzky-Golay(S-G)filtering.By incorporating the S-G filtering algorithm,the algorithm smooths out noise at phase jump points on a global scale,thus mitigating the local oscillation issues inherent in wavelet-only denoising.Experimental results of displacement reconstruction indicate that the proposed method successfully eliminates high-frequency noise at both amplitude and phase jump points.Consequently,the reconstructed displacement curve retains the original waveform characteristics of the vibrating object.关键词
自混合干涉/相位展开/位移重构/小波阈值滤波/Savitzky-Golay滤波Key words
self mixing interference/phase unwrapping/displacement reconstruction/wavelet threshold filter/Savitzky-Golay filter分类
信息技术与安全科学引用本文复制引用
尤亚强,李鑫涛,刘晖,和丹..基于小波阈值滤波和S-G滤波相结合的激光自混合干涉微位移重构[J].强激光与粒子束,2024,36(8):9-16,8.基金项目
陕西省秦创原"科学家+工程师"队伍项目(2023KXJ-129) （2023KXJ-129）
西安工程大学柯桥纺织产业创新研究院暨西安工程大学(柯桥)研究生创新学院产学研协同创新项目(19KQYB12) （柯桥）
