F. Barkov, A. Krivosheev, Y. Konstantinov, A. R. Davydov
{"title":"A Refinement of Backward Correlation Technique for Precise Brillouin Frequency Shift Extraction","authors":"F. Barkov, A. Krivosheev, Y. Konstantinov, A. R. Davydov","doi":"10.3390/fib11060051","DOIUrl":null,"url":null,"abstract":"A new method for extracting the Brillouin frequency shift (BFS) from the Brillouin gain spectrum (BGS), the modified backward correlation method (MBWC), is presented. The possibilities of using MBWC, and MBWC in combination with the Lorentzian curve fitting (LCF) based on Levenberg–Marquardt (LM) method, are studied. The effectiveness of the new method, and its combination with LM, has been demonstrated for processing spectra with a low signal-to-noise ratio (SNR). The experiments, which were in good agreement with the performed simulation, showed that at SNR = 0 dB, the combined (MBWC + LM) method provided the BFS extraction error of less than 4 MHz, while the state-of-the-art LM algorithm extracted it with the error greater than 4.5 MHz. The advantage of correlation methods becomes more significant with the decreasing SNR: at SNR = −2 dB, the LM’s error is 14.3 MHz, and that of the combined one is 8.1 MHz.","PeriodicalId":12122,"journal":{"name":"Fibers","volume":" ","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fibers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/fib11060051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
A new method for extracting the Brillouin frequency shift (BFS) from the Brillouin gain spectrum (BGS), the modified backward correlation method (MBWC), is presented. The possibilities of using MBWC, and MBWC in combination with the Lorentzian curve fitting (LCF) based on Levenberg–Marquardt (LM) method, are studied. The effectiveness of the new method, and its combination with LM, has been demonstrated for processing spectra with a low signal-to-noise ratio (SNR). The experiments, which were in good agreement with the performed simulation, showed that at SNR = 0 dB, the combined (MBWC + LM) method provided the BFS extraction error of less than 4 MHz, while the state-of-the-art LM algorithm extracted it with the error greater than 4.5 MHz. The advantage of correlation methods becomes more significant with the decreasing SNR: at SNR = −2 dB, the LM’s error is 14.3 MHz, and that of the combined one is 8.1 MHz.
FibersEngineering-Civil and Structural Engineering
CiteScore
7.00
自引率
7.70%
发文量
92
审稿时长
11 weeks
期刊介绍:
Fibers (ISSN 2079-6439) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications on the materials science and all other empirical and theoretical studies of fibers, providing a forum for integrating fiber research across many disciplines. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. The following topics are relevant and within the scope of this journal: -textile fibers -natural fibers and biological microfibrils -metallic fibers -optic fibers -carbon fibers -silicon carbide fibers -fiberglass -mineral fibers -cellulose fibers -polymer fibers -microfibers, nanofibers and nanotubes -new processing methods for fibers -chemistry of fiber materials -physical properties of fibers -exposure to and toxicology of fibers -biokinetics of fibers -the diversity of fiber origins