Hu Zhiqi, He Yujun, Hu Lizhang, Zhang Miao, Wang Zishuo
{"title":"Optical Fiber Bragg Grating center of wavelength detection filter algorithm","authors":"Hu Zhiqi, He Yujun, Hu Lizhang, Zhang Miao, Wang Zishuo","doi":"10.1109/ICEMI.2011.6037954","DOIUrl":null,"url":null,"abstract":"There are various optical noises in Fiber Bragg Grating (FBG) sensing system inevitably, these noises severely limit the accuracy of detection wavelength, and also bring many difficulties to wavelength detection. In practical applications, fiber grating systems are often connected to multiple FBG sensors; there are many reflection points, which make the noise situation more complex. In order to reduce these noises, we can use hardware to reduce the noise impact, but it will raise the costs or bring inconvenience. This paper presents a selection method, which can effectively reduce the noise impact of digital signal processing techniques, such as filtering and other methods. The proposed method is not only cost saving, easy to implement changes, but also has strong versatility.","PeriodicalId":321964,"journal":{"name":"IEEE 2011 10th International Conference on Electronic Measurement & Instruments","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 2011 10th International Conference on Electronic Measurement & Instruments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMI.2011.6037954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
There are various optical noises in Fiber Bragg Grating (FBG) sensing system inevitably, these noises severely limit the accuracy of detection wavelength, and also bring many difficulties to wavelength detection. In practical applications, fiber grating systems are often connected to multiple FBG sensors; there are many reflection points, which make the noise situation more complex. In order to reduce these noises, we can use hardware to reduce the noise impact, but it will raise the costs or bring inconvenience. This paper presents a selection method, which can effectively reduce the noise impact of digital signal processing techniques, such as filtering and other methods. The proposed method is not only cost saving, easy to implement changes, but also has strong versatility.