Signal Processing Approach for Spectral Interferometry Immune to [Formula Omitted]/2 Errors
The paper develops a least-squares fitting approach for demodulating optical path difference (OPD) in spectral interferometric sensors. The proposed signal processing approach enables to substantially decrease the probability of abrupt [Formula Omitted]/2 demodulation errors. This is achieved by exc...
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| Veröffentlicht in: | IEEE photonics technology letters 2019-01, Vol.31 (18), p.1483 |
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| creator | Ushakov, Nikolai A Liokumovich, Leonid B |
| description | The paper develops a least-squares fitting approach for demodulating optical path difference (OPD) in spectral interferometric sensors. The proposed signal processing approach enables to substantially decrease the probability of abrupt [Formula Omitted]/2 demodulation errors. This is achieved by excluding from analysis a part of spectrum samples, providing less information, responsible for distinguishing the spectra of interferometrs, which OPDs differ at [Formula Omitted]/2. The amount of excluded samples is controlled by a numeric parameter. The dependency of optimal value of signal processing parameter on signal to noise ratio (SNR) of optical spectrum is derived. The proposed signal processing approach is tested experimentally, it’s efficiency in suppressing the [Formula Omitted]/2 demodulation errors and optimal parameter dependency on SNR were confirmed. It was demonstrated to provide a 4 dB effort in terms of minimal SNR providing error-free OPD demodulation. |
| doi_str_mv | 10.1109/LPT.2019.2934093 |
| format | Article |
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The proposed signal processing approach enables to substantially decrease the probability of abrupt [Formula Omitted]/2 demodulation errors. This is achieved by excluding from analysis a part of spectrum samples, providing less information, responsible for distinguishing the spectra of interferometrs, which OPDs differ at [Formula Omitted]/2. The amount of excluded samples is controlled by a numeric parameter. The dependency of optimal value of signal processing parameter on signal to noise ratio (SNR) of optical spectrum is derived. The proposed signal processing approach is tested experimentally, it’s efficiency in suppressing the [Formula Omitted]/2 demodulation errors and optimal parameter dependency on SNR were confirmed. It was demonstrated to provide a 4 dB effort in terms of minimal SNR providing error-free OPD demodulation.</description><identifier>ISSN: 1041-1135</identifier><identifier>EISSN: 1941-0174</identifier><identifier>DOI: 10.1109/LPT.2019.2934093</identifier><language>eng</language><publisher>New York: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</publisher><subject>Demodulation ; Dependence ; Interferometry ; Process parameters ; Signal processing ; Signal to noise ratio ; Spectra</subject><ispartof>IEEE photonics technology letters, 2019-01, Vol.31 (18), p.1483</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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This is achieved by excluding from analysis a part of spectrum samples, providing less information, responsible for distinguishing the spectra of interferometrs, which OPDs differ at [Formula Omitted]/2. The amount of excluded samples is controlled by a numeric parameter. The dependency of optimal value of signal processing parameter on signal to noise ratio (SNR) of optical spectrum is derived. The proposed signal processing approach is tested experimentally, it’s efficiency in suppressing the [Formula Omitted]/2 demodulation errors and optimal parameter dependency on SNR were confirmed. It was demonstrated to provide a 4 dB effort in terms of minimal SNR providing error-free OPD demodulation.</description><subject>Demodulation</subject><subject>Dependence</subject><subject>Interferometry</subject><subject>Process parameters</subject><subject>Signal processing</subject><subject>Signal to noise ratio</subject><subject>Spectra</subject><issn>1041-1135</issn><issn>1941-0174</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNjcFqAjEURYNUqFX3XT5w7ZiXRDpZSlEUChV0JyLD-MaOTCbTl8zCvzeLfkBX9ywO5wrxjjJDlHbxtT9mSqLNlNVGWj0QI7QG5xI_zEtimRhRL1_FWwh3KdEstRmJ06G-tUUDe_YlhVC3N1h1Hfui_IHKMxw6KiMnYddG4orYO4r8gJ1zfUsQPZw2nl3fFPDt6hjpel4oWDN7DhMxrIom0PRvx2K2WR8_t_PU_-0pxMvd95zew0WpXGvMc4P6f9YTSDRJYA</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Ushakov, Nikolai A</creator><creator>Liokumovich, Leonid B</creator><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20190101</creationdate><title>Signal Processing Approach for Spectral Interferometry Immune to [Formula Omitted]/2 Errors</title><author>Ushakov, Nikolai A ; Liokumovich, Leonid B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_22833188413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Demodulation</topic><topic>Dependence</topic><topic>Interferometry</topic><topic>Process parameters</topic><topic>Signal processing</topic><topic>Signal to noise ratio</topic><topic>Spectra</topic><toplevel>online_resources</toplevel><creatorcontrib>Ushakov, Nikolai A</creatorcontrib><creatorcontrib>Liokumovich, Leonid B</creatorcontrib><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</fulltext></delivery><addata><au>Ushakov, Nikolai A</au><au>Liokumovich, Leonid B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Signal Processing Approach for Spectral Interferometry Immune to [Formula Omitted]/2 Errors</atitle><jtitle>IEEE photonics technology letters</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>31</volume><issue>18</issue><spage>1483</spage><pages>1483-</pages><issn>1041-1135</issn><eissn>1941-0174</eissn><abstract>The paper develops a least-squares fitting approach for demodulating optical path difference (OPD) in spectral interferometric sensors. The proposed signal processing approach enables to substantially decrease the probability of abrupt [Formula Omitted]/2 demodulation errors. This is achieved by excluding from analysis a part of spectrum samples, providing less information, responsible for distinguishing the spectra of interferometrs, which OPDs differ at [Formula Omitted]/2. The amount of excluded samples is controlled by a numeric parameter. The dependency of optimal value of signal processing parameter on signal to noise ratio (SNR) of optical spectrum is derived. The proposed signal processing approach is tested experimentally, it’s efficiency in suppressing the [Formula Omitted]/2 demodulation errors and optimal parameter dependency on SNR were confirmed. It was demonstrated to provide a 4 dB effort in terms of minimal SNR providing error-free OPD demodulation.</abstract><cop>New York</cop><pub>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE photonics technology letters, 2019-01, Vol.31 (18), p.1483 |
| issn | 1041-1135 1941-0174 |
| language | eng |
| recordid | cdi_proquest_journals_2283318841 |
| source | IEEE Electronic Library (IEL) |
| subjects | Demodulation Dependence Interferometry Process parameters Signal processing Signal to noise ratio Spectra |
| title | Signal Processing Approach for Spectral Interferometry Immune to [Formula Omitted]/2 Errors |
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