| 一种光纤SPR传感器光谱降噪的新方法 |
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| 引用本文： | 赵志远,曾捷,梁大开,张晓丽.一种光纤SPR传感器光谱降噪的新方法[J].光谱学与光谱分析,2009,29(11):3096-3100. |
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| 作者姓名： | 赵志远 曾捷 梁大开 张晓丽 |
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| 作者单位： | 南京航空航天大学智能材料与结构航空科技重点实验室,江苏,南京,210016 |
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| 基金项目： | 国家自然科学基金项目，江苏省自然科学基金项目 |
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| 摘 要： | 根据光纤SPR传感器光谱的特点和实验系统的实时性监测要求,提出了一种新的降噪方法--移动小波提升算法.该方法脱离傅里叶变换,将复杂滤波过程分解为若干可逆简单过程,处理快而准,无须额外内存.在共振波长为557.70 nm的理论光谱上加一定强度的高斯白噪声,得到了仿真光谱模型.分别用基于Haar,CDF(3.1),DD(4,2)和5/3小波的移动小波提升算法对此模型进行降噪,得到共振波长分别为556.45,564.06,557.27和557.91 nm.最后一种算法相对误差最小,仅0.037 7%.这比用经证实降噪效果较好的symletll小波降噪法得到的0.043 03%更低.不同时刻采集同一检测系统的多组光谱,其共振波长标准偏差为4.186 7 nm,经新算法降噪后降为1.560 8 nm,也优于symlet11小波降噪法的2.725 3 nm,研究表明,用移动小波提升算法降噪有效抑制了系统噪声,减小了噪声对检测共振波长的影响,保证了光纤SPR传感器的检测精度.
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| 关 键 词： | 移动小波提升算法 SPR光谱 光纤传感器 降噪 |
| 收稿时间： | 2008/12/2 |
A New Noise Filtering Method of the SPR Optical Fiber Sensor Spectrum |
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| ZHAO Zhi-yuan,ZENG Jie,LIANG Da-kai,ZHANG Xiao-li The Aeronautical Science Key Laboratory for Smart Material , Structures,Nanjing University of Aeronautics , Astronautics,Nanjing ,China.A New Noise Filtering Method of the SPR Optical Fiber Sensor Spectrum[J].Spectroscopy and Spectral Analysis,2009,29(11):3096-3100. |
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| Authors: | ZHAO Zhi-yuan ZENG Jie LIANG Da-kai ZHANG Xiao-li The Aeronautical Science Key Laboratory for Smart Material Structures Nanjing University of Aeronautics Astronautics Nanjing China |
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| Institution: | ZHAO Zhi-yuan,ZENG Jie,LIANG Da-kai,ZHANG Xiao-li The Aeronautical Science Key Laboratory for Smart Material and Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China |
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| Abstract: | According to the characters of SPR optical fiber sensor spectrum and the requirement of real-time monitoring,a new noise filtering method,mobile lifting wavelet analysis,is presented in this paper. This method is not based on Fourier transform,but on an algorithm of dividing a complicated noise filtering process into a number of reversible simple processes. It is very fast,correct and does not use additional memory. A model of actual SPR optical fiber sensor spectrum is constructed by superposing a certain ... |
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| Keywords: | Mobile lifting wavelet analysis SPR spectrum Optical fiber sensor Noise filtering |
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