{"title":"Improved de-noising approach of Fiber Optic Gyroscope based on lifting scheme wavelet","authors":"Zhiyong Xie, Zhang Tao, Nong Cheng, Jingyan Song","doi":"10.1109/ICMA.2011.5986362","DOIUrl":null,"url":null,"abstract":"An improved method based on Lazy wavelet lifting scheme and mixed threshold function combined with idea of domain relative filters is proposed for the purpose of enhancing the accuracy of de-noising output of Fiber Optic Gyroscope (FOG) and eliminating the drawback of slow speed of former wavelets. This new method can reduce the bias of soft threshold function and the variance of hard threshold function to increase the local and global de-noising accuracy with the advantage of low computational cost. The de-noise results of one FOG's static and dynamic output signals used in practice demonstrate the validity of this method, less time and high accuracy, and show its value for practical application.","PeriodicalId":317730,"journal":{"name":"2011 IEEE International Conference on Mechatronics and Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Mechatronics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2011.5986362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An improved method based on Lazy wavelet lifting scheme and mixed threshold function combined with idea of domain relative filters is proposed for the purpose of enhancing the accuracy of de-noising output of Fiber Optic Gyroscope (FOG) and eliminating the drawback of slow speed of former wavelets. This new method can reduce the bias of soft threshold function and the variance of hard threshold function to increase the local and global de-noising accuracy with the advantage of low computational cost. The de-noise results of one FOG's static and dynamic output signals used in practice demonstrate the validity of this method, less time and high accuracy, and show its value for practical application.