{"title":"Influence of Periodical Interference on the Noise Analysis of Inertial Sensors Using Allan Variance","authors":"K. Draganová, P. Lipovský, M. Šmelko","doi":"10.1109/MILTECHS.2019.8870136","DOIUrl":null,"url":null,"abstract":"Noise analysis of inertial sensors can be performed using many methodologies. One of the advantageous methods supported also by the IEEE is the noise analysis using Allan variance. But for the evaluation of the analysis results it is necessary to know how to correctly interpret the results even in the case if the measurements are influenced by interference. The article deals with the influence of the periodical interference on the noise analysis of the inertial sensors. Selected cases when the noise has dynamic characteristics, is non-stationary and varies in time were analyzed.","PeriodicalId":107301,"journal":{"name":"2019 International Conference on Military Technologies (ICMT)","volume":"82 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Military Technologies (ICMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILTECHS.2019.8870136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Noise analysis of inertial sensors can be performed using many methodologies. One of the advantageous methods supported also by the IEEE is the noise analysis using Allan variance. But for the evaluation of the analysis results it is necessary to know how to correctly interpret the results even in the case if the measurements are influenced by interference. The article deals with the influence of the periodical interference on the noise analysis of the inertial sensors. Selected cases when the noise has dynamic characteristics, is non-stationary and varies in time were analyzed.