Muhammad Aseem Uddin Shaikh, Azaan Mahmood, S. S. H. Zaidi, Muhammad Zain, Maria Ashraf
{"title":"Future Position Estimation In case of GPS Outages","authors":"Muhammad Aseem Uddin Shaikh, Azaan Mahmood, S. S. H. Zaidi, Muhammad Zain, Maria Ashraf","doi":"10.1109/INTELLECT55495.2022.9969387","DOIUrl":null,"url":null,"abstract":"Global Positioning System (GPS) is the most convenient and accurate position locating systems available today (GPS). It is satellite based positioning method. From any place on the planet, six to eight satellites may normally be seen. For accurate fixing, at least four satellites are required. However, there are certain methods which can severely reduce GPS accuracy. As a result of the accuracy denial measures, the number of satellites available for repair is reduced. These procedures can result in hundreds of meters of inaccuracy. This paper focuses on development of accelerometer based hardware which can be utilized to estimate the location of the vehicle only by knowing basic factors which include the last fixed position, given acceleration and time. Proposed experimental setup suggests that implemented methodology is practical and can be utilized for precise and accurate positioning. Our approach is based on Double Integration Method and Kalman Filter (KF) which augments to future position estimation based on previous known position.","PeriodicalId":219188,"journal":{"name":"2022 Third International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Third International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELLECT55495.2022.9969387","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
Global Positioning System (GPS) is the most convenient and accurate position locating systems available today (GPS). It is satellite based positioning method. From any place on the planet, six to eight satellites may normally be seen. For accurate fixing, at least four satellites are required. However, there are certain methods which can severely reduce GPS accuracy. As a result of the accuracy denial measures, the number of satellites available for repair is reduced. These procedures can result in hundreds of meters of inaccuracy. This paper focuses on development of accelerometer based hardware which can be utilized to estimate the location of the vehicle only by knowing basic factors which include the last fixed position, given acceleration and time. Proposed experimental setup suggests that implemented methodology is practical and can be utilized for precise and accurate positioning. Our approach is based on Double Integration Method and Kalman Filter (KF) which augments to future position estimation based on previous known position.