{"title":"Model of the Signal of the Galileo Satellite Navigation System","authors":"M. Džunda, SebastiÁn ēikovský, Lucia Balejčíková","doi":"10.12716/1001.17.01.04","DOIUrl":null,"url":null,"abstract":": This article presents an analysis of the Galileo E1 signal and its sensitivity to different types of interference. The research involved modeling white noise, chaotic impulse interference, and narrowband interference and the effects of these interfering signals on the E1 signal. Based on the available information, spectral structures were created for the mentioned types of interference, and subsequently, these int erferences were integrated into the E1 signal in the Matlab program environment. A Kallman filter was used to filter out white noise from the additive mixture of the E1 signal and white noise. The research aimed to analyze the influence of white noise, chaotic impulse interference, and narrowband interference on the spectral power density of the E1 signal. The results of this work can be used in the design of robust receivers and signal structures capable of withstanding these types of interference.","PeriodicalId":46009,"journal":{"name":"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation","volume":"176 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12716/1001.17.01.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
: This article presents an analysis of the Galileo E1 signal and its sensitivity to different types of interference. The research involved modeling white noise, chaotic impulse interference, and narrowband interference and the effects of these interfering signals on the E1 signal. Based on the available information, spectral structures were created for the mentioned types of interference, and subsequently, these int erferences were integrated into the E1 signal in the Matlab program environment. A Kallman filter was used to filter out white noise from the additive mixture of the E1 signal and white noise. The research aimed to analyze the influence of white noise, chaotic impulse interference, and narrowband interference on the spectral power density of the E1 signal. The results of this work can be used in the design of robust receivers and signal structures capable of withstanding these types of interference.