An EMD-SG Algorithm for Spectral Noise Reduction of FBG-FP Static Strain Sensor
Random noises in the reflection spectra of fiber Bragg grating (FBG) typically limit the resolution of static-strain sensor based on FBG. We use the empirical mode decomposition (EMD) and the Savitzky-Golay (SG) filter to denoise reflection spectra from a pair of FBG-based Fabry-Perot interferometer...
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| Veröffentlicht in: | IEEE photonics technology letters 2017-05, Vol.29 (10), p.814-817 |
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| creator | Liu, Peide Huang, Wenzhu Zhang, Wentao Li, Fang |
| description | Random noises in the reflection spectra of fiber Bragg grating (FBG) typically limit the resolution of static-strain sensor based on FBG. We use the empirical mode decomposition (EMD) and the Savitzky-Golay (SG) filter to denoise reflection spectra from a pair of FBG-based Fabry-Perot interferometers (FBG-FPs) for achieving high static-strain resolution. The EMD is proposed for extracting adaptive basis functions from two FBG-FPs' reflection spectra. The SG filter is proposed for smoothing and denoising basis functions. These basis functions are used to reconstruct the reflection spectra, which can be used to calculate the relative wavelength difference. A simulation and two experiments are conducted to verify the performance of the proposed technique. The results of experiment conducted in the noisy laboratory and in the quiet basement are consistent with the simulation result. When SNR is less than 10 dB, the resolution of the EMD-SG method is approximately ten times the resolution of the traditional cross correlation. A minimumstatic strain resolution of 0.68 nε is achieved. |
| doi_str_mv | 10.1109/LPT.2017.2686452 |
| format | Article |
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We use the empirical mode decomposition (EMD) and the Savitzky-Golay (SG) filter to denoise reflection spectra from a pair of FBG-based Fabry-Perot interferometers (FBG-FPs) for achieving high static-strain resolution. The EMD is proposed for extracting adaptive basis functions from two FBG-FPs' reflection spectra. The SG filter is proposed for smoothing and denoising basis functions. These basis functions are used to reconstruct the reflection spectra, which can be used to calculate the relative wavelength difference. A simulation and two experiments are conducted to verify the performance of the proposed technique. The results of experiment conducted in the noisy laboratory and in the quiet basement are consistent with the simulation result. When SNR is less than 10 dB, the resolution of the EMD-SG method is approximately ten times the resolution of the traditional cross correlation. A minimumstatic strain resolution of 0.68 nε is achieved.</description><identifier>ISSN: 1041-1135</identifier><identifier>EISSN: 1941-0174</identifier><identifier>DOI: 10.1109/LPT.2017.2686452</identifier><identifier>CODEN: IPTLEL</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive filters ; Basis functions ; Computer simulation ; Cross correlation ; Demodulation ; EMD ; FBG-FP ; Fiber gratings ; Filtering theory ; Interferometers ; Noise reduction ; Reflection ; Savitzky-Golay filter ; Signal to noise ratio ; Spectra ; static strain ; Strain ; wavelength demodulation ; White noise</subject><ispartof>IEEE photonics technology letters, 2017-05, Vol.29 (10), p.814-817</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-e8ec9b65e69ce5788bcdc0f43214dad09a94c409a674fb7f57f9f293ced618c3</citedby><cites>FETCH-LOGICAL-c291t-e8ec9b65e69ce5788bcdc0f43214dad09a94c409a674fb7f57f9f293ced618c3</cites><orcidid>0000-0002-2184-3520 ; 0000-0001-9530-3925 ; 0000-0003-4869-6564</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7884922$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7884922$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu, Peide</creatorcontrib><creatorcontrib>Huang, Wenzhu</creatorcontrib><creatorcontrib>Zhang, Wentao</creatorcontrib><creatorcontrib>Li, Fang</creatorcontrib><title>An EMD-SG Algorithm for Spectral Noise Reduction of FBG-FP Static Strain Sensor</title><title>IEEE photonics technology letters</title><addtitle>LPT</addtitle><description>Random noises in the reflection spectra of fiber Bragg grating (FBG) typically limit the resolution of static-strain sensor based on FBG. We use the empirical mode decomposition (EMD) and the Savitzky-Golay (SG) filter to denoise reflection spectra from a pair of FBG-based Fabry-Perot interferometers (FBG-FPs) for achieving high static-strain resolution. The EMD is proposed for extracting adaptive basis functions from two FBG-FPs' reflection spectra. The SG filter is proposed for smoothing and denoising basis functions. These basis functions are used to reconstruct the reflection spectra, which can be used to calculate the relative wavelength difference. A simulation and two experiments are conducted to verify the performance of the proposed technique. The results of experiment conducted in the noisy laboratory and in the quiet basement are consistent with the simulation result. When SNR is less than 10 dB, the resolution of the EMD-SG method is approximately ten times the resolution of the traditional cross correlation. A minimumstatic strain resolution of 0.68 nε is achieved.</description><subject>Adaptive filters</subject><subject>Basis functions</subject><subject>Computer simulation</subject><subject>Cross correlation</subject><subject>Demodulation</subject><subject>EMD</subject><subject>FBG-FP</subject><subject>Fiber gratings</subject><subject>Filtering theory</subject><subject>Interferometers</subject><subject>Noise reduction</subject><subject>Reflection</subject><subject>Savitzky-Golay filter</subject><subject>Signal to noise ratio</subject><subject>Spectra</subject><subject>static strain</subject><subject>Strain</subject><subject>wavelength demodulation</subject><subject>White noise</subject><issn>1041-1135</issn><issn>1941-0174</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPAjEUhRujiYjuTdw0cT3Y1zy6RAQ0QSEO-6Z0bnUITLHtLPz3lkBcnZubc-7jQ-iekhGlRD4tVusRI7QcsaIqRM4u0IBKQbPUEpepJqmmlOfX6CaELSFU5FwM0HLc4en7S1bP8Xj35Xwbv_fYOo_rA5jo9Q5_uDYA_oSmN7F1HXYWz57n2WyF66hja5J43Xa4hi44f4uurN4FuDvrEK1n0_XkNVss52-T8SIzTNKYQQVGboocCmkgL6tqYxpDrOCMikY3RGopjEhSlMJuSpuXVlomuYGmoJXhQ_R4Gnvw7qeHENXW9b5LGxWtJC8Jy9OzQ0ROLuNdCB6sOvh2r_2vokQdqalETR2pqTO1FHk4RVoA-LenA4VkjP8Bdxtmvg</recordid><startdate>20170515</startdate><enddate>20170515</enddate><creator>Liu, Peide</creator><creator>Huang, Wenzhu</creator><creator>Zhang, Wentao</creator><creator>Li, Fang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-2184-3520</orcidid><orcidid>https://orcid.org/0000-0001-9530-3925</orcidid><orcidid>https://orcid.org/0000-0003-4869-6564</orcidid></search><sort><creationdate>20170515</creationdate><title>An EMD-SG Algorithm for Spectral Noise Reduction of FBG-FP Static Strain Sensor</title><author>Liu, Peide ; Huang, Wenzhu ; Zhang, Wentao ; Li, Fang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-e8ec9b65e69ce5788bcdc0f43214dad09a94c409a674fb7f57f9f293ced618c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptive filters</topic><topic>Basis functions</topic><topic>Computer simulation</topic><topic>Cross correlation</topic><topic>Demodulation</topic><topic>EMD</topic><topic>FBG-FP</topic><topic>Fiber gratings</topic><topic>Filtering theory</topic><topic>Interferometers</topic><topic>Noise reduction</topic><topic>Reflection</topic><topic>Savitzky-Golay filter</topic><topic>Signal to noise ratio</topic><topic>Spectra</topic><topic>static strain</topic><topic>Strain</topic><topic>wavelength demodulation</topic><topic>White noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Peide</creatorcontrib><creatorcontrib>Huang, Wenzhu</creatorcontrib><creatorcontrib>Zhang, Wentao</creatorcontrib><creatorcontrib>Li, Fang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE photonics technology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Peide</au><au>Huang, Wenzhu</au><au>Zhang, Wentao</au><au>Li, Fang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An EMD-SG Algorithm for Spectral Noise Reduction of FBG-FP Static Strain Sensor</atitle><jtitle>IEEE photonics technology letters</jtitle><stitle>LPT</stitle><date>2017-05-15</date><risdate>2017</risdate><volume>29</volume><issue>10</issue><spage>814</spage><epage>817</epage><pages>814-817</pages><issn>1041-1135</issn><eissn>1941-0174</eissn><coden>IPTLEL</coden><abstract>Random noises in the reflection spectra of fiber Bragg grating (FBG) typically limit the resolution of static-strain sensor based on FBG. We use the empirical mode decomposition (EMD) and the Savitzky-Golay (SG) filter to denoise reflection spectra from a pair of FBG-based Fabry-Perot interferometers (FBG-FPs) for achieving high static-strain resolution. The EMD is proposed for extracting adaptive basis functions from two FBG-FPs' reflection spectra. The SG filter is proposed for smoothing and denoising basis functions. These basis functions are used to reconstruct the reflection spectra, which can be used to calculate the relative wavelength difference. A simulation and two experiments are conducted to verify the performance of the proposed technique. The results of experiment conducted in the noisy laboratory and in the quiet basement are consistent with the simulation result. When SNR is less than 10 dB, the resolution of the EMD-SG method is approximately ten times the resolution of the traditional cross correlation. 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| ispartof | IEEE photonics technology letters, 2017-05, Vol.29 (10), p.814-817 |
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| subjects | Adaptive filters Basis functions Computer simulation Cross correlation Demodulation EMD FBG-FP Fiber gratings Filtering theory Interferometers Noise reduction Reflection Savitzky-Golay filter Signal to noise ratio Spectra static strain Strain wavelength demodulation White noise |
| title | An EMD-SG Algorithm for Spectral Noise Reduction of FBG-FP Static Strain Sensor |
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