测试科学与仪器2021，Vol.12Issue(1)：61-67,7.DOI:10.3969/j.issn.1674-8042.2021.01.008
基于L-T的联合算法在光纤法珀纳米压力传感器脉压检测信号中的应用
Application of a joint algorithm based on L-T to pulse pressure detection signal of fiber Fabry-Perot nano pressure sensor
摘要
Abstract
An improved denoising method and its application in pulse beat signal denoising are studied.The proposed denoising algorithm takes the advantages of local mean decomposition (LMD)and time-frequency peak filtering (TFPF),called L-T algorithm.As a classical time-frequency filtering method,TFPF can effectively suppress random noise with signal amplitude retained when selecting a longer window length,while the signal amplitude will be seriously attenuated when selecting a shorter window length.In order to maintain effective signal amplitude and suppress random noise,LMD and TFPF are improved. Firstly,the original signal is decomposed into progression-free survival (PFS)by LMD,and then the standard error of mean (SEM)of each product function is calculated to classify many PFSs into useful component,mixed component and noise component.Secondly,by using the shorter window TFPF for useful component and the longer window TFPF for mixed component,noise component is removed and the final signal is obtained after reconstruction.Finally,the proposed algorithm is used for noise reduction of an Fabry-Perot (F-P)pressure sensor.Experimental results show that compared with traditional wavelet,L-T algorithm has better denoising effect on sampled data.关键词
局部均值分解/时频峰值滤波/降噪/F-P传感器Key words
local mean decomposition (LMD)/time-frequency peak filtering (TFPT)/noise reduction/Fabry-Perot (F-P) sensor引用本文复制引用
冯飞,秦丽..基于L-T的联合算法在光纤法珀纳米压力传感器脉压检测信号中的应用[J].测试科学与仪器,2021,12(1):61-67,7.基金项目
National Natural Science Foundation of China(No.51467009) （No.51467009）
Natural Science Foundation of Shanxi Province(No.51400000) （No.51400000）
