{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T06:03:15Z","timestamp":1779256995348,"version":"3.51.4"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T00:00:00Z","timestamp":1707955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"State Assignment","award":["124020600009-2"],"award-info":[{"award-number":["124020600009-2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We describe a method for reducing the cost of optical frequency domain reflectometer (OFDR) hardware by replacing two reference channels, including an auxiliary interferometer and a gas cell, with a single channel. To extract useful information, digital signal processing methods were used: digital frequency filtering, as well as empirical mode decomposition. It is shown that the presented method helps to avoid the use of an unnecessary analog-to-digital converter and photodetector, while the OFDR trace is restored by the equal frequency resampling (EFR) algorithm without loss of high resolution and with good measurement repeatability.<\/jats:p>","DOI":"10.3390\/s24041253","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T11:19:01Z","timestamp":1707995941000},"page":"1253","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["An Optical Frequency Domain Reflectometer\u2019s (OFDR) Performance Improvement via Empirical Mode Decomposition (EMD) and Frequency Filtration for Smart Sensing"],"prefix":"10.3390","volume":"24","author":[{"given":"Maxim E.","family":"Belokrylov","sequence":"first","affiliation":[{"name":"Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitry A.","family":"Kambur","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia"},{"name":"Applied Mathematics Department, Perm National Research Polytechnic University, Komsomolsky Avenue 29, 614990 Perm, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7820-7736","authenticated-orcid":false,"given":"Yuri A.","family":"Konstantinov","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D","family":"Claude","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1890-6906","authenticated-orcid":false,"given":"Fedor L.","family":"Barkov","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,15]]},"reference":[{"key":"ref_1","first-page":"4","article-title":"Internet of Things and Smart Cities","volume":"59","author":"Chan","year":"2021","journal-title":"IEEE Commun. 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