{"title":"Time-Frequency Analysis of Fiber Optic Gyro Based on HilbertHuang Transform","authors":"Wentao Liu, Jieyu Liu, Xiaogang Zhou, Qiang Shen","doi":"10.1109/GNCC42960.2018.9019173","DOIUrl":null,"url":null,"abstract":"In order to further understand its composition, we use Hilbert-Huang transform to analyze the output signal of the fiber optic gyroscope. First, we use empirical mode decom-position (EMD) to process the original signal, and then we can obtain a series of intrinsic mode functions (IMF). After the Hilbert-Huang transform, the three-dimensional time-frequency spectrum of the IMF is finally received according to the instantaneous parameters of the IMF. In addition, compared with the traditional Allan variance’s object of analysis, in this paper, the method is carried out in the frequency domain for every IMF. On the whole, in contrast with the conventional time-frequency analysis method, such as wavelet time-frequency analysis method, in terms of adaptability and accuracy, the means used in this paper is worth mentioning.","PeriodicalId":6623,"journal":{"name":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","volume":"95 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GNCC42960.2018.9019173","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
In order to further understand its composition, we use Hilbert-Huang transform to analyze the output signal of the fiber optic gyroscope. First, we use empirical mode decom-position (EMD) to process the original signal, and then we can obtain a series of intrinsic mode functions (IMF). After the Hilbert-Huang transform, the three-dimensional time-frequency spectrum of the IMF is finally received according to the instantaneous parameters of the IMF. In addition, compared with the traditional Allan variance’s object of analysis, in this paper, the method is carried out in the frequency domain for every IMF. On the whole, in contrast with the conventional time-frequency analysis method, such as wavelet time-frequency analysis method, in terms of adaptability and accuracy, the means used in this paper is worth mentioning.